Next Article in Journal
Residents’ Spatial Image Perception of Urban Green Space through Cognitive Mapping: The Case of Beijing, China
Previous Article in Journal
The Impact of Weather and Slope Conditions on the Productivity, Cost, and GHG Emissions of a Ground-Based Harvesting Operation in Mountain Hardwoods
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A Passive Wood-Based Building in Slovakia: Exploring the Life Cycle Impact

1
Department of Wood Structures, Faculty of Wood Sciences and Technology, Technical University in Zvolen, T. G. Masaryka 24, 96001 Zvolen, Slovakia
2
Department of Physics, Electrical Engineering and Applied Mechanics, Faculty of Wood Sciences and Technology, Technical University in Zvolen, T. G. Masaryka 24, 96001 Zvolen, Slovakia
3
Institute of Foreign Languages, Technical University in Zvolen, T. G. Masaryka 24, 96053 Zvolen, Slovakia
*
Author to whom correspondence should be addressed.
Forests 2021, 12(12), 1613; https://doi.org/10.3390/f12121613
Submission received: 12 October 2021 / Revised: 16 November 2021 / Accepted: 19 November 2021 / Published: 23 November 2021
(This article belongs to the Section Wood Science and Forest Products)

Abstract

:
The aim of the study is to point out the burden of passive wood-based buildings throughout the life cycle from the environmental point of view to better understand the consequences and importance of building design in Slovakia. The analysis was carried out according to the Life Cycle Assessment methodology. The results were calculated by the CML-IA baseline method. The impacts of the product stage and operational energy use were the highest throughout the considered life cycle. Substances contributing to eleven impact categories were identified. Foundations, especially foam glass, were found to bear the majority of the impact of the overall construction materials. The normalization category showed considerable impact on marine aquatic ecotoxicity mainly due to building energy consumption over the course of 50 years. Loads connected to the replacement stage were the third highest. The study also proved high demand on elements of photovoltaics.

1. Introduction

Currently, one of the biggest issues worldwide is to mitigate climate change. In recent decades, global society has faced constant environmental problems and challenges, such as increasing greenhouse gases emissions (especially CO2), higher energy demand and consumption, and ultimately, global warming and climate change. The building construction industry is one of the major contributors to global carbon emissions. Greenhouse gases produced by buildings and the construction industry represent about 39% of global CO2 emissions [1,2,3]. Therefore, it is necessary to reduce the energy consumption of buildings. Passive buildings constitute high energy saving systems by decreasing the thermal transmittance of the building envelope together with controlling ventilation and airtightness [4]. It is generally accepted that the energy demand for heating decreases with improved thermal-technical properties of external structures. On the other side, the scientific literature provides evidence that mitigating the effects of a building’s operation does not in itself ensure an overall improvement in its environmental performance [5].
The passive building requirements are among the most stringent energy efficiency standards for buildings [6] and can meet the range of high energy performance requirements set by the European Commission [7]. A Passive House is defined as a building, for which thermal comfort (ISO 7730) can be achieved solely by post-heating or post-cooling of the fresh air mass, which is required to achieve sufficient indoor air quality conditions—without the need for additional recirculation of air. Furthermore, the Commission also suggests passive housing to be a key strategy to shift towards a low-carbon economy by 2050 [8].
Each human activity affects the environment. The Life Cycle Assessment (LCA) methodology expresses the impacts of human activities in units corresponding to a specific impact category. The Centre of Environmental Science of Leiden University [9] proposed a set of 11 impact categories that include abiotic depletion of elements and fossil fuels, the potential for global warming, ozone depletion, photochemical oxidation acidification and eutrophication, toxicity to humans, and freshwater, marine, and terrestrial ecotoxicity.
The building sector is responsible for 19% of the global energy-related greenhouse gases (GHGs) emissions [10] and 36% of the total CO2 emissions in Europe [11]. Sartori, I., Hestnes, A.G., and Karimpour, M. et al. [12,13] show that the share of production energy can increase up to 60% of the total life cycle energy use, as the operational energy use is reduced through thermal envelope improvement. Case studies on structures built according to different design criteria, and at parity of all other conditions, showed that the design of low-energy buildings induces both a net benefit in the total life cycle energy demand and an increase in the embodied energy. Retrofitting existing buildings to high energy performance levels reduces the operational energy use and carbon dioxide equivalent (CO2eq) emission, but usually entails the use of additional materials.
The choice of construction materials affects the building’s environmental impact within the whole life cycle [14]. Studies from several countries show that wood materials used in building frames usually release less CO2 than other materials throughout the life cycle [15,16,17]. This is due to the relatively small amount of energy needed to manufacture wood products compared to other materials and the opportunity to replace fossil fuels with wood byproducts during the manufacturing process. Dodoo et al. [18] also show that the post-use energy recovery of wood has a higher carbon benefit compared to both the recycling of reinforcing steel and the carbonation of post-use concrete from reinforced concrete. It was demonstrated that embodied energy can represent 35% of the future emissions target of a building in a mild climate [13]. The findings of another work [19] indicated that concrete is the greatest contributor across all environmental impact categories, except in the abiotic depletion of elements category, and that employing insulating materials in the building’s wall systems can have a beneficial effect in the energy efficiency of a building, without substantially burdening its total embodied energy.
Buildings are difficult to compare with each other in terms of energy efficiency notwithstanding the other parameters [20]. Energy-efficient buildings, sustainable buildings, smart buildings, nearly zero-energy buildings, and passive and active buildings are construction concepts widely recognized as the latest trends. The purpose of their design is to create an optimal thermal microclimate by means of heat flows that are either formed within the building or enter it [21]. High-performance building envelopes are designed to achieve target reductions in operational energy. However, these wall assemblies often require initial investments in material cost and manufacturing energy. Wood-framed wall systems were the most cost-effective and exhibited lower LCE (life cycle energy) and LCC (life cycle cost) compared with the other wall assemblies [22].
Life Cycle Assessment (LCA) is one of the environmental management tools that evaluate the impact of a product on the environment. Its principles and guidelines are described in respective legislation [23,24]. In overall consumption, all energy from the production and distribution of materials, construction, and use to the eventual disposal of the building and generated waste must be included [12]. LCA methods can be applied in various scopes, particularly for building materials and their production [25,26,27] or to buildings as a whole [28,29]. Standards of ISO 14040 and 14044 [30,31] define the life cycle stages of buildings. LCA is a detailed methodology, and its application is internationally harmonized, standardized, and used [32].
Wood-based buildings cause relatively small environmental damage as they use environmentally friendly materials [33]. Wood-based construction materials are generally considered sustainable as they bind carbon until they become waste [34]. A careful selection of materials can reduce the net CO2eq by up to 68%, especially when using wood materials. Results show that the operation CO2eq emission decreases by between 50% and 82% in the retrofitted buildings depending on the passive house requirement. The non-operation CO2eq emissions correspond to 4% to 25% of the operation CO2-eq savings depending on the passive house standard and material option [14]. The research results of Mitterpach et al. [35] also showed that the material assembly of the external wall significantly influences the life cycle impact assessment result. The selection of structural and especially insulating materials plays an important role in the case of wood constructions, as the insulation is more than 80% of the volume of the wood-based structures on average. Results of the life cycle assessment for single-family housing show that the majority of the life cycle environmental impacts (95%) occur at the use and operation stage. Only 4% is added by the pre-use stage and 1% by the post-use stage [36].
Due to population growth and consequent expansion of industry and services, the need for energy is continuously increasing [37]. Energy consumption plays a substantial role in global warming as most of this energy comes from fossil fuels. Therefore, the transition to renewable energy sources could partially reduce the negative effects of energy needs. The share of renewable energy in the global energy mix should increase substantially by 2030 [38].
The current practice of energy-environmental assessments of buildings, which focuses only on the operational stage, reveals a gap in knowledge about the overall impact on the environment [36,37,38]. Many scientific studies examine or analyze the calculated, simulated, or actual measured energy consumption, emissions, and other impacts, only during the operational stage of a building. However, relevant knowledge and data on the overall impact throughout the life cycle are lacking. This article presents a well-known and widely applied method of evaluating buildings, construction systems, and materials for individual quintessential solutions (including the project in question) in terms of the complex impact on the environment and energy consumption taking into account the impacts on the use of natural resources and occupant health, as well as the impacts on the environment in terms of climate change, ozone layer depletion, ecotoxicity, acidification, and eutrophication. It analyzes the characteristic reference family house, which reflects the current typical low-energy and green building.
The aim of this study was to identify the selected environmental impacts of a two-story wood-based passive building throughout the selected life cycle based on the CML-IA baseline calculation method [9] in the national conditions of Slovakia. The study aims at life cycle stages and substance contribution analysis from raw material extraction, the production of construction materials, the construction process, and the use of the building. The results could provide valuable information for LCA experts and help stakeholders in making decisions.

2. Materials and Methods

The reference structure was a two-story residential building with a simple compact shape and rectangular floor plan (Figure 1, Figure 2 and Figure 3) representing a typical family house for a family of four characterized by a gross floor area (GFA) of 210.0 m2 and a gross internal area (GIA) of 159.6 m2, which covers 80–90% of similar residential buildings. The choice of construction system corresponded to the economically most widespread timber frame construction system based on ecological and renewable wood raw material and regular filling materials available on the market. Moreover, the construction and technologies were designed to meet the requirements for nearly-zero-energy buildings—energy efficiency class A0—in accordance with the Directive on the energy performance of buildings [7], which is a requirement for all new residential buildings since 2021.
A reinforced concrete foundation slab was thermally insulated with 600 mm foam glass granules. The roof was designed as flat with extensive vegetation and photovoltaic panels. The load-bearing construction of the roof and the exterior walls was made from wood-stud frames. The mineral wool was placed between the studs to ensure the required insulation. The exterior walls were designed as a diffusely open construction. A brick placed in the ceiling and in the inner partition walls served as an energy accumulation layer. The high standard of thermal protection was complemented by high-quality, low-energy wood-frame windows with triple glazing presented by an extremely low heat transfer coefficient U = 0.8 W/(m2·K). However, the transmittance of solar radiation (g = 0.63) was high. The supply of thermal energy came from a heat pump with a heating output of 3 kW. Heating was provided by the wall heating system and supported by controlled ventilation with recuperation. The heating system was also used for summer cooling. The system ensured thermal comfort with optimal heat distribution in the winter heating season and low-energy cooling in the case of extreme summer heat. All devices were controlled and harmonized by a central intelligent control system. The calculated specific heat demand for heating of the construction was 13.3 kWh/(m2·a).
The functional unit was represented by the whole reference structure with a 50-year lifespan. The construction consisted of a timber structure and other components listed in Table 1. Data on the components were taken from the building area statement for the reference building. Geotextiles, waterproof foil, and a vapor barrier were excluded from the assessment. Life cycle inventory details of construction materials are given in Table A1.
According to EN 15978 [30], the system boundaries (Figure 4) were set from stage A1 to B7. The analysis was carried out using the CML-IA baseline v3.06 [8] calculation method and SimaPro 9.1.1.1 Analyst software [39] developed by PRé Consultants in the Netherlands. LCI data were taken from ecoinvent v3.6 [40]. Slovak datasets were only used for energy consumption, and the remaining datasets covered the average global data. Attributional modeling, especially Allocation at the Point of Substitution (APOS), was chosen to reflect the average impact of products within the supply chain.
The selected calculation method transforms input and output materials and energy flows into a specific impact on the environment through default characterization factors. The CML-IA baseline method covers the impact of the depletion of abiotic elements and fossil fuels, global warming potential, ozone depletion potential, toxicity on humans, freshwater, and marine aquatic environments, terrestrial ecotoxicity, and the potential for photochemical oxidation, acidification, and eutrophication.
Transportation distances from the distributor to the construction site were assumed based on qualified estimates taking into account actual Slovak conditions described in Table 2. Vehicles meeting the Euro 5 European emission standards were chosen for transportation.
The construction activities of the A5 stage requiring heavy machinery consisted mainly of groundworks, landscaping, and foundation building, estimated to last 11 h. The rest of the construction was assumed to be built manually. The electricity consumption for electrical appliances used during construction was set to 2.6 kWh. Construction wastes were assumed to be 10% used KVH timber, OSB, HDF, gypsum fiberboard, rock wool, and brick. All construction wastes were considered to be transported 20 km and landfilled.
Emissions from the B1 stage included leakages of cooling agents from the heat pump system, assumed to reach 10% of the overall coolants consumption over 50 years.
Maintenance (B2), replacement (B4), and refurbishment (B5) of the building were scheduled according to the manufacturer’s instructions and assumptions listed in Table 3.
The B6 stage was modelled as follows: The energy consumption of the building was calculated according to the Slovak standard [41]. The annual electricity consumption was 4141.79 kWh and heat production from the heat pump was 5806.51 kWh. Furthermore, 95.51% of the consumed electricity was produced by photovoltaics, while the rest of the electricity was covered by public power distribution. The entire photovoltaic energy produced was considered as used in the building. Seasonal weather changes were not calculated. Controlled ventilation with recuperation together with the brine water heat pump circuit was used to support wall heating with distribution under plasterboard cladding. Since the recuperation system did not produce energy, it was assigned to the product stage. In the B7 stage, the water necessary for heating and humidification of vegetation roof over the course of 50 years was included, accounting for 13,451.5 liters. The handling of waste through life cycle stages is presented in Table A2.

3. Results

3.1. Impact Assessment of Individual Life Cycle Stages

Table 4 and Figure 5 reflect the impact of building life cycle stages. Product stages (A1–A3) had the highest impact across five categories—Abiotic Depletion either for elements (AD-E; 46.40%) or fossil resources (AD-F; 48.56%); Human Toxicity (HT; 55.43%); Terrestrial Ecotoxicity (TE; 55.73%); and Photochemical Oxidation Potential (POP; 40.70%).
The impact of stages A4, A5, B2, B5, and B7 was negligible. The emissions from Building Use (B1) had the third highest impact in POP accounting for 13.56%. The replacement stage (B4) had the second highest impact in AD-E (28.35%) and ODP (31.98%). The B6 stage corresponded to the highest negative environmental impact in six categories—Global Warming Potential (GWP; 42.91%); Ozone Depletion Potential (ODP; 46.75%); Fresh Water (FAE; 50.41%) and Marine Aquatic Ecotoxicity (MAE; 51.80%); Acidification (AP; 48.06%); and Eutrophication Potential (EP; 55.89%).
The product stage and stage B6 had nearly the same impact on GWP indicating the energy consumption over 50 years approximately matches the embodied energy of the construction materials.
Normalization assigns the magnitude of impact categories within a selected region in a year, thus providing the relative significance of the impact category indicator results. EU25 normalization factors were for, representing the impact of 25 European countries in 2006. MAE was determined to be the most-hit category. The share of particular life cycle stages on the overall MAE impact was as followed: 51.80% of the B6 stage, 32.15% of the A1–A3 stages, and 13.45% of the B4 stage.

3.2. Impact Assessment on Individual Impact Categories

3.2.1. Depletion of Abiotic Resources

Abiotic depletion is divided into element and fossil parts, expressed as the rate of extraction of minerals and the deaccumulation rate (kg Sb eq) and the lower heating value (MJ per kg of 1 m3 fossil fuel), respectively.
Elements’ depletion (Figure 6) was mainly caused by gold in nearly all life cycle stages except for the A5 and B1 stages. Altogether, gold reached 91.85% of all elements’ depletion. The impact of chromium (59.80%) dominated in the A5 stage, although it represented only 1.88% of all elements.
The depletion of fossil fuels (Figure 7) was primarily assigned to hard coal in A1–A3, A5, B4, B5, and B7 stages. The impact of brown coal prevailed in the B2 and B6 life cycle stages. The transportation of construction materials (A4) was especially bound to crude oil consumption (89.36%). The impact of natural gas varied and accounted for a maximum of one-third of the impact within the stages. Generally, the depletion of fossil fuels within the life cycle was dominated by hard coal (34.57%), followed by natural gas (25.03%), crude oil (21.22%), and brown coal (18.58%).

3.2.2. Global Warming Potential, Ozone Layer Depletion, and Photochemical Oxidation

At first, GWP was specified (Figure 8). Fossil CO2 emissions accounted for more than 72% of the GHGs in nearly all stages, excluding B1 and B4. Emissions from the Replacement stage (B4) consisted of 57.24% HFC-134a and about 38% CO2. Stage B1, referring to emissions during the normal use of the building, produced only HFC-134a emissions. More than 5% of the GHGs contribution were detected for fossil CH4 (A1–A3, A5, B5, and B7) and 20.57% of those emissions were generated by biogenic methane in the A5 stage. Emissions of CO2 from land transformation were detected to be 5% in the B5 stage.
In terms of the three most-polluting substances, fossil CO2, HFC-134a, and fossil CH4 emissions reached the highest share on overall GWP accounting for 83.05%, 8.71%, and 4.97%, respectively.
In the case of ODP, the most representative substance was halon 1301, which led in A1–A3, A4, A5, and B5 (Figure 9). The considerable prevalence of CFC-113 was detected in the B4 stage (76.22%). CFC-114 dominated in B2, B6, and B7. The rest of the freons formed a minority of the ozone depletion impact.
Overall assessment of the emitted ozone-depleting substances during the selected life cycle of the building showed 37.57% of that impact was caused by CFC-113, followed by CFC-114 (23.68%) and halon 1301 (15.78%).
Figure 10 explores the contribution of substances responsible for photochemical oxidation. Apart from the B1 stage, which was hit by propylene glycol, each of the rest of the life cycle stages suffered the largest impact from sulfur dioxide, from 38.46% of the impact on B5 to 78.06% of the impact on B6. The second most contributing substance was found to be fossil CO emissions responsible for 9.23% of the B6 impact and up to 39.95% of the A4 impact. Formaldehyde was detected in the A1–A3 and B5 stages, representing 7.07% and 7.70% of the impact, respectively. A high share of other emissions represented the vast amount of substances liable to photochemical oxidation.
According to the overall POP assessment, SO2 was proved to be the most-emitted substance, referring to 29.50% of all contributing emissions (Figure 10). Next, fossil CO and propylene glycol accounted for 10.40% and 8.17% of the overall POP emissions.

3.2.3. Toxicity and Ecotoxicity

This section describes substances representing the potential toxic effect on human health (HT); freshwater (FAE) and marine aquatic environments (MAE); and the terrestrial environment (TE).
Figure 11 revealed thallium in the water as the most contributing substance to HT in B2, B4, B5, B6, and B7. Chromium emissions in the air were depicted to reach 73.32% and 90.41% of the A1–A3 and A5 impact, respectively. Antimony emissions prevailed in the A4 stage, peaking at 31.01%. The impact of selenium ranged from 7.48% (B5) to 15.48% (B7). Copper emissions were detected in the A4 stage (10.51%). Benzene emissions were responsible for 12.73% of the impact in the B5 stage and 7.24% of the impact in the B7 stage. Relatively high shares of other substances in A4 and B2-B7 account for many different pollutants with toxic natures.
Overall assessment of substances contributing to HT affirmed chromium and thallium as the two most-emitted pollutants, causing 44.75% and 33.48% of those emissions, respectively.
Figure 12 characterizes the distribution of substances responsible for FAE. The main pollutant was detected to be copper, mostly represented in the A4, B2, B4, B5, and B6 stages. Nickel emissions were dominant in A1–A3, A5, and B7. The second highest shares of FAE in the B5 (23.64%) and B7 stage (24.87%) belonged to vanadium. Cobalt was found to be the second highest pollution contributor (18.49%) in the A5 stage. The share of beryllium emissions ranged from 8.41% in the A1–A3 stages to 14.28% in the B5 stage.
Investigating the overall substance contribution to FAE proved the dominance of copper (47.31%) and nickel (23.05%) emissions followed by beryllium (10.24%). The share of cobalt and vanadium was 6.90% and 6.24%, respectively.
The impact on MAE (Figure 13) was predominantly caused by airborne hydrogen fluoride emissions, especially in the A5 (50.82%) and B5 (43.83%) stages; and beryllium leakages to water mostly burdening the rest of the life cycle stages, represented by 30.21% of the impact on A1–A3 up to 47.97% of the impact on B4. Nickel emissions were the second highest in the A5 stage (22.92%) and the third highest in the A1–A3 stages (16.68%). Other emissions created a minority of the ecotoxicity impact within the particular stages.
Altogether, beryllium, hydrogen fluoride, and nickel bore the majority of the MAE impact, accounting for 38.58%, 23.81%, and 10.24%, respectively. Copper and cobalt constituted 6.09% and 5.66% of those emissions, respectively.
The terrestrial environment (Figure 14) was hit by substances from each of the three compartments—air, water, and soil. Cypermethrin, a synthetic insecticide, caused the majority of the impact in the A1–A3 stages (47.38%) and the B5 stage (63.60%). Stages B2 (65.65%) and B6 (65.72%) were mostly affected by Cr6+ emissions in the soil. The same airborne emissions were found to bear 51.63% of the impact on A5 and involved the second highest share of emissions in the A1 to A3 stages (22.68%). Airborne mercury emissions mainly hit the B7, A4, and B4 stages, reaching 84.70%, 33.81%, and 32.14% of the impact, respectively. The impact of nickel in the air reached 17.60% in the B4 stage and was the second highest in this category.
The overall contribution of each toxic substance supports the findings that cypermethrin was the largest contributor to TE representing a share of 28.85% of emissions affecting the terrestrial environment. The rest were detected to be Cr6+ in the soil and airborne mercury and chromium emissions, responsible for 27.77%, 17.29%, and 13.92% of those emissions.

3.2.4. Acidification and Eutrophication

Acidification is primarily associated with combustion processes. The majority of the AP impact in all life cycle stages came from SO2 emissions contributing at least 50.50% of the impact (A4) and up to 84.61% of the impact in the B2 stage (Figure 15). Ammonia was responsible for 7.41% of the impact in A1–A3 and 15.27% of the impact in B4. The NOx impact distribution within the stages ranged from 13.54% to 48.72%.
Generally, SO2 was the biggest contributor to AP, followed by NOx and ammonia, accounting for 73.57%, 21.45%, and 4.98% of those emissions, respectively.
Eutrophication is a consequence of the enrichment of nutrients in the water, such as phosphorus and nitrogen, leading to decomposition processes. Figure 16 depicted phosphate leakages into the water as representing the highest burden of the A1–A3, B2, B4, B6, and B7 stages. The chemical oxygen demand was the highest impact indicator for the A5 (84.66%) and B5 stages (60.80%). Airborne NOx reached 54.91% of the impact on the A4 stage.
To sum up, phosphate contributed three-quarters of all substances in the EP category. NOx was responsible for 9.65% and chemical oxygen demand represented only 7.41% of all substances supporting eutrophication.

3.3. Assessment of Construction Materials and Operational Energy

According to the previous findings, the two most-polluting life cycle stages—A1–A3 and B6—were chosen for a closer impact assessment.

3.3.1. Embodied Environmental Impact of Construction Materials

Figure 17 depicts the impact of individual construction materials within each impact category (ICs). Only contributions higher than 10% were highlighted.
The embodied impact of foam glass dominated in most ICs, namely AD-F, GWP, ODP, MAE, TE, POP, AP, and EP. Steel parts largely affected HT (69.43%) and FAE (42.89%). Windows and doors exceeded the 10% cut-off impact in AD-E (30.41%), POP (10.44%), and AP (10.12%). More than 40% of the impact on AD-E was assigned to the recuperation system. OSB reached 13.33% and 13.64% impact on ODP and POP, respectively. KVH was detected to reach 12.38% of the ODP impact. All other contributions were below 10%.
The foundations—gravel, foam glass, concrete, reinforcement—constituted 55.02% of the total weight of the building (Table A1). Only foam glass represented 8.05% of the weight and was assessed as the most environmentally harmful construction material. Wood-based products—KVH, OSB, and HDF—accounted for 18.56% of the overall building weight. However, the cumulative impact of wood-based products was higher than that of foam glass only in POP (28.13% for wood-based products and 22.11% for foam glass, respectively).

3.3.2. Evaluation of the B6 Stage Impact

Operational energy demand was previously found to be the second worst life cycle stage. Since operational energy consumption was widely bound to photovoltaics, a comparison was made to specify differences in the possible environmental impact of the B6 stage if there was only photovoltaic energy (P), Slovak energy mix (S), and average European energy mix (EU) consumption (Figure 18). The results showed the impact of photovoltaic panels was more than 50% lower than that of the Slovak energy mix, which was found to be the worst variant in nearly all categories. Only AD-E was dominated by photovoltaics, causing an impact about 58% higher due to a higher demand for chemical elements (gold, silver, copper, lead, zinc).

3.4. Sensitivity Analysis

3.4.1. Lifetime Perspective

A sensitivity analysis was performed to indicate relative differences in the impact of each life cycle stage across 40- and 60-year lifetimes in comparison with the relative impact of each stage within the selected impact categories over the course of 50 years (Table 5). Since stages A1–A3, A4, and A5 represented the embodied impact of the building, the input data were kept. Material and energy flows in the use stage (B1–B7) were assumed to be directly proportionate to the number of years the building was used. This means the impact of stages B1–B7 increased by 20% for each impact category every 10 years.
Positive values refer to the increased impact of the specific stage within the selected impact category while negative values indicate a reduced relative burden on the environment. Obviously, the fewer years the building is used, the higher the relative impact of the construction materials, transport to the construction site, and the construction itself, which can be observed in the case of the 40-year lifetime as an 11.93% increased impact compared to the reference impact in the 50-year lifetime.

3.4.2. Masonry Construction Perspective

In order to determine the effect of different types of construction, masonry construction was designed to meet the calculated specific heat demand for heating of the construction (13.3 kWh/(m2·a)). All characteristics belonging to the use stage of the building (stages B1 to B7) were preserved. Changes occurred in the product (stages A1 to A3) and the construction stage (A4 and A5). The timber construction of walls was replaced by brick, and the ceiling was transformed into reinforced concrete. A list of the considered construction materials is given in Table A3. Transportation distances relating to the construction stage are given in Table A4.
According to the results (Table 6), the masonry construction contribution was higher in two categories, namely GWP and ODP (11.40% and 13.06%, respectively). The rest of the impact categories reported lower values than the timber construction, whereas the highest difference was noted for HT (−73.80%). An increase in the impact of transportation was indicated, of at least 185.10% in AD-E and up to 277.22% in HT. The construction process of masonry construction was higher in AD-E, AD-F, and ODP, accounting for 0.32%, 16.17%, and 33.88%, respectively. The impact on the other categories was lower and ranged between −3.49% in HT and −91.27% in EP.

4. Discussions

The study identified the life cycle impacts of a balloon-frame timber structure designed as a passive building with integrated photovoltaics, a heat pump, and controlled ventilation. The proposed building represented a higher standard of a single-family building. Data on the type and mass of construction materials, operational energy, and water use are verified based on actual measurements. Other stages contain data partly based on qualified estimates and manufacturer recommendations. Transportation distances are representative for Slovak conditions. For input and output flows, a 1% cut-off rule was applied. The life cycle was modelled for a geographical region of Slovakia.
During the impact assessment of individual life cycle stages, only contributions more than 5% were accounted for in the evaluation. The product stage and operational energy reported similar impacts in several categories. In particular, the GWP impact of these stages was nearly the same and supporting passive buildings not only reduced the energy performance of the building but also the negative environmental impacts. The research also proved findings of previous studies [42,43,44] whereby the impact of construction materials and operational energy use in passive buildings can be equal over the course of 50 years. In addition, attention should be focused on the burden associated with replacement as a consequence of HVAC system choice. A similar conclusion was reached by [45], who determined HVAC retrofitting to burden the environment more than the exterior insulation.
Several methods of specifying the environmental impact exist. Generally, GWP is the main impact category assessed by many authors [2,14,15,16,17,18,19,20,25,27,28,29,33,35,36,42,44,45,46,47,48,49,50]. Other environmental impacts are rarely discussed [16,27,33,35,46]. The present study showed the alarming impact of heavy metals, according to normalization results. Ecotoxicity indicators, especially for aquatic ecosystems, should be paid more attention.
Raw material extraction, transportation to the manufacturer, construction materials manufacturing, transportation to site, and the construction process represent the embodied impacts of a building. Sensitivity analysis proved buildings with longer lifetimes reported lower embodied impact. Focusing on construction materials determined the impact of the proposed balloon-frame timber construction’s labelled foundations to bear 43.04% of the GWP impact. Compared to a previous study [45] where foundations of a light steelframed building were responsible for 29% of the embodied GWP, the wood-based constructions represent an environmentally friendlier type of construction.
Passive buildings use renewable energy sources to lower energy consumption. The energy consumption of buildings was found to have a crucial impact on the environment by several studies [47,48,51]. In the present study, the choice of electricity production mix considerably affected the B6 stage. In the case of the photovoltaic panels, 60–70% of the energy consumption relates to the manufacturing stage [47]. Thus, the positive impact they cause in GWP compensates for the negative impacts they cause in Abiotic Depletion. The results agree with the findings of Tawalbeh et al. [52] who thoroughly investigated the environmental impacts of the photovoltaic system. As photovoltaic panels require large amounts of abiotic raw materials, it is necessary to pay attention to the development of more advanced technology with lower environmental impact.
Certain authors [36,49] claim wood-based buildings achieve better environmental characteristics compared to conventional masonry buildings. Based on our findings, masonry constructions could be regarded as environmentally worse buildings in terms of the impact on GWP and ODP. However, other categories proved the contrary. The high impact on the other categories might be due to distorted data on specific types of brick filled with mineral insulation used in the masonry construction. Since the ecoinvent database only covers standard clay brick, the real impact of brick manufacturing might be higher. The relatively high impact of timber construction in the construction stage could be due to the larger amount of waste produced.
The results of this study are bound to specific types of construction, transportation distances, geographic sites, and electricity mix. The specific situation is bound to transportation distances as well as the specific type of HVAC system. Results of this study could be compared to buildings with similar passive standard systems. Thus, comparisons with other buildings should be carried out with care [50,53]. Further research should be conducted to evaluate the impact of other construction materials as well as to compare the impact of different material compositions and prefabrication on the building’s life cycle.

5. Conclusions

Building design influences its environmental impact in each life cycle stage. Therefore, it is crucial to look at the building as a whole system where even a slight modification in the design stage can lead to a substantial change within the life cycle.
The study focused on evaluating the life cycle environmental impact of a passive wood-based residential building including controlled ventilation with recuperation, photovoltaics, and a heat pump over the course of 50 years. The product stage, the replacement stage, and operational energy use were the most burdensome stages in nearly all categories throughout the life cycle. The global warming potential impact of the product stage and B6 stage was nearly the same. Normalization results showed a major negative impact on marine aquatic ecotoxicity mostly caused by the B6 stage.
The proposed wood construction was found to be environmentally friendlier than the masonry variant in terms of GWP and ODP. The environmental impact of construction materials indicated foam glass as the worst material. Wood-based materials had a lower cumulative impact in almost all categories compared to foam glass.
Moreover, renewable energy sources used in passive buildings to lower energy consumption should not be considered burden-free for the environment. In addition to many positive environmental impacts of renewable energy sources, the study showed the impact of high demand on chemical elements in the case of photovoltaics. This raises a concerns of possible depletion of non-renewable raw materials due to the probable expansion of photovoltaic power plants in the future.

Author Contributions

Conceptualization, R.V. and R.I.; methodology, R.V.; software, R.V.; validation, J.Š. (Jozef Štefko) and R.I.; formal analysis, M.N.; investigation, R.V. and J.Š. (Jozef Štefko); resources, R.I. and J.Š. (Jaroslava Štefková); data curation, J.Š. (Jozef Štefko); writing—original draft preparation, R.V. and R.I.; writing—review and editing, J.Š. (Jaroslava Štefková) and M.N.; visualization, M.N.; supervision, J.Š. (Jaroslava Štefková); project administration, M.N.; funding acquisition, J.Š. (Jozef Štefko) and M.N. All authors have read and agreed to the published version of the manuscript.

Funding

We wish to thank the Slovak Research and Development Agency (grant number APVV-17-0206), the Scientific Grant Agency of Ministry of Education, Science, Research, and Sport of the Slovak Republic (grant numbers VEGA 1/0714/21 and 1/0717/19), and the Cultural and Educational Grant Agency of Ministry of Education, Science, Research, and Sport of the Slovak Republic (grant number KEGA 023ŽU-4/2021).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. Life cycle inventory of input construction materials.
Table A1. Life cycle inventory of input construction materials.
Construction MaterialDatabase *Share on Overall Construction Weight (%) **
GravelGravel, crushed {RoW}|market for gravel, crushed|APOS, U15.82
Foam glassFoam glass {GLO}|market for|APOS, U8.05
ConcreteConcrete, 25 MPa {RoW}|market for concrete, 25 MPa|APOS, U30.15
ReinforcementReinforcing steel {GLO}|market for|APOS, U1.00
KVH Structural timberOwn assumption 110.70
Oriented strand board (OSB)Oriented strand board {GLO}|market for|APOS, U5.99
High density fiberboard (HDF)Fiberboard, hard {GLO}|market for|APOS, U1.87
Rock woolStone wool, packed {GLO}|market for stone wool, packed|APOS, U1.36
Gypsum plasterboardGypsum plasterboard {GLO}|market for|APOS, U5.12
Steel connectionsSteel, chromium steel 18/8 {GLO}|market for|APOS, U1.55
Mineral plasterBase plaster {GLO}|market for|APOS, U1.25
BrickClay brick {GLO}|market for|APOS, U3.84
Extensive vegetationOwn assumption 211.21
Windows and doorsDoor, outer, wood-glass {GLO}|market for|APOS, U
Door, inner, wood {GLO}|market for|APOS, U
Window frame, wood, U = 1.5 W/(m2·K) {GLO}|market for|APOS, U
Glazing, triple, U < 0.5 W/m2K {GLO}|market for|APOS, U
2.08
Recuperation systemVentilation system, central, 1 × 720 m3/h, polyethylene ducts, with earth tube heat exchanger {GLO}|market for|APOS, U-
* Data refer to ecoinvent database [40]. ** total weight of construction was 149.935 t. 1 Database is based on the following assumption: Density of KVH is 440 kg·m−3. 1 m3 of Sawnwood, beam, softwood, raw, dried (u = 10%) {GLO}|market for|APOS, U and 0.3 kg of Urea formaldehyde resin {RER}|market for urea formaldehyde resin|APOS, U is used to manufacture 1 m3 of KVH and 141.67 kWh of Electricity, medium voltage {Europe without Switzerland}|market group for|APOS, U is consumed. 2 Database is based on the following assumption: Inputs to manufacture 1 kg of the substrate for extensive vegetation consist of: 0.05 kg of Compost (industrial) market for; 0.45 kg of Cleft timber, measured as dry mass {Europe without Switzerland}|market for|APOS, U; 0.40 kg of Shale {GLO}|market for|APOS, U; 0.10 kg of Peat {GLO}|market for|APOS, U; 0.01 kg of Grass seed, organic, for sowing {GLO}|market for|APOS, U and 0.028 kg of Packaging film, low density polyethylene {GLO}|market for|APOS, U. Transportation accounts for 0.03052 tkm of Transport, freight, lorry > 32 metric ton, euro5 {RER}|market for transport, freight, lorry > 32 metric ton, EURO5|APOS, U. Energy requirements are 0.00185 kWh of Electricity, low voltage {SK}|market for|APOS, U and 0.00227 MJ of Heat, central or small-scale, natural gas {Europe without Switzerland}|market for heat, central or small-scale, natural gas|APOS, U.
Table A2. Waste management of produced wastes.
Table A2. Waste management of produced wastes.
StageWaste TypeAmountWaste Scenario
A5 Construction processTimber1604.37 kgL
OSB898.35 kgFD
HDF280.28 kgFD
Gypsum plasterboard767.22 kgFD
Rock wool204.17 kgL
Brick576.01 kgFD
LDPE waste foil0.45 kgM
Reinforcement steel72.50 kgM
B2 MaintenanceWastewater32 m3T
Electronic waste40 kgM
Waste paint4 kgI
B4 ReplacementUsed air filter in central unit50 uT
Used air filter in exhaust air50 uT
Electronic scrap54.67 kgM
Steel and iron241.67 kgR
Waste glass sheet3.33 kgM
Used blower and heat exchange unit 2.5 uT
Used refrigerant8.23 kgT
Spent antifreezer liquid178.75 kgI
B5 RefurbishmentUsed inner door16.2 m2FD
Waste paint2 kgI
Waste plastic2 kgM
Note: L—landfill; FD—final disposal; M—market; T—treatment of; I—incineration; R—recycling; u—unit. Market activities comprises various waste scenarios covering average global treatment of specific waste.
Table A3. Life cycle inventory of input construction materials for masonry passive building.
Table A3. Life cycle inventory of input construction materials for masonry passive building.
Construction MaterialDatabase *Share on Overall Construction Weight (%) **
GravelGravel, crushed {RoW}|market for gravel, crushed|APOS, U9.68
Foam glassFoam glass {GLO}|market for|APOS, U4.92
ConcreteConcrete, 25 MPa {RoW}|market for concrete, 25 MPa|APOS, U18.46
ReinforcementReinforcing steel {GLO}|market for|APOS, U0.61
Reinforced concrete ceilingfiber-reinforced concrete {BR}|market for fiber-reinforced concrete, steel|APOS, U29.30
Rock woolStone wool, packed {GLO}|market for stone wool, packed|APOS, U2.10
Mineral plasterBase plaster {GLO}|market for|APOS, U3.13
BrickClay brick {GLO}|market for|APOS, U23.66
Extensive vegetationOwn assumption 16.86
Windows and doorsDoor, outer, wood-glass {GLO}|market for|APOS, U
Door, inner, wood {GLO}|market for|APOS, U
Window frame, wood, U = 1.5 W/m2K {GLO}|market for|APOS, U
Glazing, triple, U < 0.5 W/m2K {GLO}|market for|APOS, U
1.27
Recuperation systemVentilation system, central, 1 × 720 m3/h, polyethylene ducts, with earth tube heat exchanger {GLO}|market for|APOS, U-
* Data refer to ecoinvent database [40]. ** total weight of construction was 244.927 t. 1 Database is based on the following assumption: Inputs to manufacture 1 kg of the substrate for extensive vegetation consist of: 0.05 kg of Compost (industrial) market for; 0.45 kg of Cleft timber, measured as dry mass {Europe without Switzerland}|market for|APOS, U; 0.40 kg of Shale {GLO}|market for|APOS, U; 0.10 kg of Peat {GLO}|market for|APOS, U; 0.01 kg of Grass seed, organic, for sowing {GLO}|market for|APOS, U and 0.028 kg of Packaging film, low density polyethylene {GLO}|market for|APOS, U. Transportation accounts for 0.03052 tkm of Transport, freight, lorry > 32 metric ton, euro5 {RER}|market for transport, freight, lorry > 32 metric ton, EURO5|APOS, U. Energy requirements are 0.00185 kWh of Electricity, low voltage {SK}|market for|APOS, U and 0.00227 MJ of Heat, central or small-scale, natural gas {Europe without Switzerland}|market for heat, central or small-scale, natural gas|APOS, U.
Table A4. Transportation distances from distributor to the construction site—masonry construction.
Table A4. Transportation distances from distributor to the construction site—masonry construction.
Distance (km)Product
100Steel
Gravel
Foam glass
Windows and doors
50Rock wool
Reinforced concrete ceiling
30Concrete
20Extensive vegetation
Base plaster
Transport of excavator
200Recuperation system
Brick

References

  1. World Economic Forum. The Global Risks Report. 2020. Available online: https://www.weforum.org/reports/the-global-risks-report-2020 (accessed on 23 March 2021).
  2. Asdrubali, F.; D’Alessandro, F.; Schiavoni, S.A. Review of unconventional sustainable building insulation materials. Sustain. Mater. Technol. 2015, 4, 1–17. [Google Scholar] [CrossRef]
  3. Ciambrone, D.F. Environmental Life Cycle Analysis; CRC Press: Boca Raton, FL, USA, 1997; p. 160. [Google Scholar]
  4. Feist, W.; Schnieders, J.; Dorer, V.; Haas, A. Re-inventing air heating: Convenient and comfortable within the frame of the Passive House concept. Energy Build. 2005, 37, 1186–1203. [Google Scholar] [CrossRef]
  5. Palumbo, E. Effect of LCA data sources on GBRS reference values: The envelope of an Italian Passive House. Energies 2021, 14, 1883. [Google Scholar] [CrossRef]
  6. Harvey, L.D.D. Recent advances in sustainable buildings: Review of the energy and cost performance of the state-of-the art best practices from around the world. Annu. Rev. Env. Resour. 2013, 38, 281–309. [Google Scholar] [CrossRef]
  7. European Parliament, Council of the European Union. Directive 2010/31/EU of the European Parliament and of the Council of 19 May 2010 on the Energy Performance of Buildings. Available online: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32010L0031&from=EN (accessed on 2 June 2021).
  8. European Commission, Communication from the Commission—A Roadmap for Moving to a Competitive Low Carbon Economy in 2050. COM (2011) 112. Brussels. Available online: https://eur-lex.europa.eu/legal-content/en/ALL/?uri=CELEX%3A52011DC0112 (accessed on 23 March 2021).
  9. Guinée, J.B.; Gorrée, M.; Heijungs, R.; Huppes, G.; Kleijn, R.; de Koning, A.; van Oers, L.; Wegener Sleeswijk, A.; Suh, S.; Udo de Haes, H.A.; et al. Handbook on Life Cycle Assessment: Operational Guide to the ISO Standards; Kluwer Academic Publishers: Dordrecht, The Netherlands; Boston, MA, USA, 2002; p. 390. [Google Scholar]
  10. Edenhofer, O.; Pichs-Madruga, R.; Sokona, Y.; Farahani, E.; Kadner, S.; Seyboth, K.; Adler, A.; Baum, I.; Brunner, S.; Eickemeier, P.; et al. Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, 1st ed.; Cambridge University Press: Cambridge, UK; New York, NY, USA, 2014; p. 1513. [Google Scholar]
  11. European Commission, New Rules for Greener and Smarter Buildings Will Increase Quality of Life for All Europeans. 2019. Available online: https://ec.europa.eu/info/news/new-rules-greener-and-smarter-buildings-will-increase-quality-life-alleuropeans-2019-apr-15_en (accessed on 1 June 2021).
  12. Sartori, I.; Hestnes, A.G. Energy use in the life cycle of conventional and low-energy buildings: A review article. Energ. Build. 2007, 39, 249–257. [Google Scholar] [CrossRef]
  13. Karimpour, M.; Belusko, M.; Xing, K.; Bruno, F. Minimising the life cycle energy of buildings: Review and analysis. Build. Environ. 2014, 73, 106–114. [Google Scholar] [CrossRef]
  14. Piccardo, C.; Dodoo, A.; Gustavsson, L. Retrofitting a building to passive house level: A life cycle carbon balance. Energ. Build. 2020, 223, 110135. [Google Scholar] [CrossRef]
  15. Gustavsson, L.; Pingoud, K.; Sathre, R. Carbon dioxide balance of wood substitution: Comparing concrete and wood-framed buildings. Mitig. Adapt. Strat. Glob. 2006, 11, 667–691. [Google Scholar] [CrossRef]
  16. Gerilla, G.P.; Teknomo, K.; Hokao, K. An environmental assessment of wood and steel reinforced concrete housing construction. Build. Environ. 2007, 42, 2778–2784. [Google Scholar] [CrossRef]
  17. Nässén, J.; Hedenus, F.; Karlsson, S.; Holmberg, J. Concrete vs. wood in buildings—An energy system approach. Build. Environ. 2012, 51, 361–369. [Google Scholar] [CrossRef]
  18. Dodoo, A.; Gustavsson, L.; Sathre, R. Carbon implications of end-of-life management of building materials. Resour. Conserv. Recycl. 2009, 53, 276–286. [Google Scholar] [CrossRef]
  19. Kylili, A.; Ilic, M.; Fokaides, P.A. Whole-building Life Cycle Assessment (LCA) of a passive house of the sub-tropical climatic zone. Resour. Conserv. Rycycl. 2017, 116, 169–177. [Google Scholar] [CrossRef]
  20. Chau, C.K.; Leung, T.M.; Ng, W.Y. A review on life cycle assessment, life cycle energy assessment and life cycle carbon emissions assessment on buildings. Appl. Energy 2015, 143, 395–413. [Google Scholar] [CrossRef]
  21. Svajlenka, J.; Kozlovska, M.; Vranay, F.; Posivakova, T.; Jamborova, M. Comparison of laboratory and computational models of selected thermal-technical properties of constructions systems based on wood. Energies 2020, 13, 3127. [Google Scholar] [CrossRef]
  22. Hong, S.J.; Arehart, J.H.; Srubar, W.V., III. Embodied and Operational energy analysis of passive house-inspired high-performance residential building envelopes. J. Archit. Eng. 2020, 26, 04020010. [Google Scholar] [CrossRef]
  23. EN ISO 14040:2006. Environmental Management. Life Cycle Assessment—Principles and Framework; International Organization for Standardization: Geneva, Switzerland, 2006. [Google Scholar]
  24. EN ISO 14044:2006. Environmental Management. Life Cycle Assessment—Requirements and Guidelines; International Organization for Standardization: Geneva, Switzerland, 2006. [Google Scholar]
  25. Zabalza Bribián, I.; Valero Capilla, A.; Aranda Usón, A. Life cycle assessment of building materials: A comparative analysis of the energy and environmental impacts and evaluation of the eco-efficiency improvement potential. Build. Environ. 2011, 46, 1133–1140. [Google Scholar] [CrossRef]
  26. Krišťák, L.; Igaz, R.; Brozman, D.; Réh, R.; Šiagiová, P.; Stebila, J.; Očkajová, A. Life cycle assessment of timber formwork: A case study. Adv. Mater. Res. 2014, 1001, 155–161. [Google Scholar] [CrossRef]
  27. Vaňová, R.; Vlčko, M.; Štefko, J. Life cycle impact assessment of load-bearing straw bale residential building. Materials 2021, 14, 3064. [Google Scholar] [CrossRef]
  28. Blegini, G.A.; Di Carlo, T. The changing role of life cycle phases, subsystems and materials in the LCA of low energy buildings. Energy Build. 2010, 42, 869–880. [Google Scholar] [CrossRef]
  29. Vilches, A.; Garcia-Matrinez, A.; Sanchez-Montanes, B. Life Cycle Assessment (LCA) of building refurbishment: A literature review. Energy Build. 2016, 135, 286–301. [Google Scholar] [CrossRef]
  30. CEN. EN 15978:2011 Sustainability of Construction Works—Assessment of Environmental Performance of Buildings—Calculation method; CEN: Brussels, Belgium, 2011. [Google Scholar]
  31. EN 15804:2012+A2:2019. Sustainability of Construction Works. Environmental Product Declarations; Core Rules for the Product Category of Construction Products: Bruxelles, Belgium, 2013. [Google Scholar]
  32. Bjorn, A.; Owsianiak, M.; Molin, C.; Hauschild, M.Z. LCA history. Life Cycle Assess. 2017, 17–30. [Google Scholar] [CrossRef]
  33. Mitterpach, J.; Ilečková, R.; Štefko, J. Life cycle impact assessment of construction materials of a wood-based building in an environmental context. Acta Fac. Xylologiae Zvolen. 2018, 60, 147–157. [Google Scholar] [CrossRef]
  34. Parobek, J.; Paluš, H.; Moravčík, M.; Kovalčík, M.; Dzian, M.; Murgaš, V.; Šimo-Svrček, S. Changes in carbon balance of harvested wood products resulting from different wood utilization scenarios. Forests 2019, 10, 590. [Google Scholar] [CrossRef] [Green Version]
  35. Mitterpach, J.; Igaz, R.; Štefko, J. Environmental evaluation of alternative wood-based external wall assembly. Acta Fac. Xylologiae Zvolen. 2020, 62, 133–149. [Google Scholar] [CrossRef]
  36. Dara, C.; Hachem-Vermette, C.; Assefa, G. Life cycle assessment and life cycle costing of container-based single-family housing in Canada: A case study. Build. Environ. 2019, 163, 106332. [Google Scholar] [CrossRef]
  37. Vivek, C.M.; Ramkumar, P.; Srividhya, P.K.; Sivasubramanian, M. Recent strategies and trends in implanting of renewable energy sources for sustainability—A review. In Materials Today, Proceedings of the 3rd International Conference on Materials, Manufacturing and Modelling, 1 April 2021; Elsevier: Amsterdam, The Netherlands, 2021; Volume 46, pp. 8204–8208. [Google Scholar] [CrossRef]
  38. UN General Assembly. Transforming Our World: The 2030 Agenda for Sustainable Development. 2015. Available online: https://sdgs.un.org/2030agenda (accessed on 3 June 2021).
  39. Goedkoop, M.; Oele, M.; Leijting, J.; Ponsioen, T.; Meijer, E. Introduction to LCA with SimaPro. Netherlands: PRé Consultants, Netherlands. 2013. Available online: https://www.pre-sustainability.com/download/SimaPro8IntroductionToLCA.pdf (accessed on 7 July 2021).
  40. Wernet, G.; Bauer, C.; Steubing, B.; Reinhard, J.; Moreno-Ruiz, E.; Weidema, B. The ecoinvent database version 3 (part I): Overview and methodology. Int. J. Life Cycle Assess. 2016, 21, 1218–1230. Available online: http://link.springer.com/10.1007/s11367-016-1087-8 (accessed on 3 June 2021). [CrossRef]
  41. STN 73 0540-2+Z1+Z2. Thermal Protection of Buildings. Thermal Performance of Buildings and Components. Part 2: Functional Requirements; Slovak Office of Standards, Metrology and Testing: Geneva, Switzerland, 2019. [Google Scholar]
  42. Pierobon, F.; Huang, M.; Simonen, K.; Ganguly, I. Environmental benefits of using hybrid CLT structure in midrise non-residential construction: An LCA based comparative case study in the U.S. Pacific Northwest. J. Build. Eng. 2019, 26, 100862. [Google Scholar] [CrossRef]
  43. D’Agostino, D.; Cuniberti, B.; Bertoldi, P. Energy consumption and efficiency technology measures in European non-residential buildings. Energy Build. 2017, 153, 72–86. [Google Scholar] [CrossRef]
  44. Roeck, M.; Saade, M.R.M.; Balouktsi, M.; Rasmussen, F.; Birgisdottir, H.; Frischknecht, R.; Habert, G.; Luetzkendorf, T.; Passer, A. Embodied GHG emissions of buildings—The hidden challenge for effective climate change mitigation. Appl. Energy 2020, 258, 114107. [Google Scholar] [CrossRef]
  45. Ahmad Ludin, N.; Ahmad Affandi, N.A.; Purvis-Roberts, K.; Ahmad, A.; Ibrahim, M.A.; Sopian, K.; Jusoh, S. Environmental impact and levelised cost of energy analysis of solar photovoltaic systems in selected Asia Pacific region: A cradle-to-grave approach. Sustainability 2021, 13, 396. [Google Scholar] [CrossRef]
  46. Shirazi, A.; Ashuri, B. Embodied Life Cycle Assessment (LCA) comparison of residential building retrofit measures in Atlanta. Build. Environ. 2020, 171, 106644. [Google Scholar] [CrossRef]
  47. Oyarzo, J.; Peuportier, B. Life cycle assessment model applied to housing in Chile. J. Clean. Prod. 2014, 69, 109–116. [Google Scholar] [CrossRef]
  48. Dolezal, F.; Dornigg, I.; Wurm, M.; Figl, H. Overview and main findings for the Austrian case study. Sustainability 2021, 13, 7584. [Google Scholar] [CrossRef]
  49. Abouhamad, M.; Abu-Hamd, M. Life cycle environmental assessment of light steel framed buildings with cement-based walls and floors. Sustainability 2020, 12, 10686. [Google Scholar] [CrossRef]
  50. Saade, M.R.M.; Guest, G.; Amor, B. Comparative whole building LCAs: How far are our expectations from the documented evidence? Build. Environ. 2020, 167, 106449. [Google Scholar] [CrossRef]
  51. Kristak, L.; Ruziak, I.; Tudor, E.M.; Barbu, M.C.; Kain, G.; Reh, R. Thermophysical properties of larch bark composite panels. Polymers 2021, 13, 2287. [Google Scholar] [CrossRef]
  52. Tawalbeh, M.; Al-Othman, A.; Kafiah, F.; Abdelsalam, E.; Almomani, F.; Alkasrawi, M. Environmental impacts of solar photovoltaic systems: A critical review of recent progress and future outlook. Sci. Total Environ. 2021, 759, 143528. [Google Scholar] [CrossRef]
  53. Hollberg, A.; Kiss, B.; Röck, M.; Soust-Verdaguer, B.; Wiberg, A.H.; Lasvaux, S.; Galimshina, A.; Habert, G. Review of visualising LCA results in the design process of buildings. Build. Environ. 2021, 190, 107530. [Google Scholar] [CrossRef]
Figure 1. Floor plan of the first floor.
Figure 1. Floor plan of the first floor.
Forests 12 01613 g001
Figure 2. Floor plan of the second floor.
Figure 2. Floor plan of the second floor.
Forests 12 01613 g002
Figure 3. Vertical cross-section of the construction.
Figure 3. Vertical cross-section of the construction.
Forests 12 01613 g003
Figure 4. System boundaries.
Figure 4. System boundaries.
Forests 12 01613 g004
Figure 5. Comparison of building life cycle stages effect within individual impact categories: (a) Characterization results; (b) normalization results. Note: Functional unit in normalization step was extended to 1 million reference buildings.
Figure 5. Comparison of building life cycle stages effect within individual impact categories: (a) Characterization results; (b) normalization results. Note: Functional unit in normalization step was extended to 1 million reference buildings.
Forests 12 01613 g005
Figure 6. Share of specific elements to the depletion of elements (AD-E): (a) Within each life cycle stage; (b) total sum of all stages.
Figure 6. Share of specific elements to the depletion of elements (AD-E): (a) Within each life cycle stage; (b) total sum of all stages.
Forests 12 01613 g006
Figure 7. Share of specific raw materials to the depletion of fossil fuels (AD-F): (a) Within each life cycle stage; (b) total sum of all stages.
Figure 7. Share of specific raw materials to the depletion of fossil fuels (AD-F): (a) Within each life cycle stage; (b) total sum of all stages.
Forests 12 01613 g007
Figure 8. Share of specific GHGs to the GWP: (a) Within each life cycle stage; (b) total sum of all stages.
Figure 8. Share of specific GHGs to the GWP: (a) Within each life cycle stage; (b) total sum of all stages.
Forests 12 01613 g008
Figure 9. Share of specific substances to the ODP: (a) Within each life cycle stage; (b) total sum of all stages.
Figure 9. Share of specific substances to the ODP: (a) Within each life cycle stage; (b) total sum of all stages.
Forests 12 01613 g009
Figure 10. Share of specific substances to the POP: (a) Within each life cycle stage; (b) total sum of all stages.
Figure 10. Share of specific substances to the POP: (a) Within each life cycle stage; (b) total sum of all stages.
Forests 12 01613 g010
Figure 11. Share of specific substances to the HT: (a) Within each life cycle stage; (b) total sum of all stages.
Figure 11. Share of specific substances to the HT: (a) Within each life cycle stage; (b) total sum of all stages.
Forests 12 01613 g011
Figure 12. Share of specific substances to the FAE: (a) Within each life cycle stage; (b) total sum of all stages.
Figure 12. Share of specific substances to the FAE: (a) Within each life cycle stage; (b) total sum of all stages.
Forests 12 01613 g012
Figure 13. Share of specific substances to the MAE: (a) Within each life cycle stage; (b) total sum of all stages.
Figure 13. Share of specific substances to the MAE: (a) Within each life cycle stage; (b) total sum of all stages.
Forests 12 01613 g013
Figure 14. Share of specific substances to the TE: (a) Within each life cycle stage; (b) total sum of all stages.
Figure 14. Share of specific substances to the TE: (a) Within each life cycle stage; (b) total sum of all stages.
Forests 12 01613 g014
Figure 15. Share of specific substances to the AP: (a) Within each life cycle stage; (b) total sum of all stages.
Figure 15. Share of specific substances to the AP: (a) Within each life cycle stage; (b) total sum of all stages.
Forests 12 01613 g015
Figure 16. Share of specific substances to the EP: (a) Within each life cycle stage; (b) total sum of all stages.
Figure 16. Share of specific substances to the EP: (a) Within each life cycle stage; (b) total sum of all stages.
Forests 12 01613 g016
Figure 17. Embodied environmental impact of construction materials (stages A1 to A3).
Figure 17. Embodied environmental impact of construction materials (stages A1 to A3).
Forests 12 01613 g017
Figure 18. Comparison of energy consumption effects (P—photovoltaics, S—Slovak energy mix, EU—average European energy mix).
Figure 18. Comparison of energy consumption effects (P—photovoltaics, S—Slovak energy mix, EU—average European energy mix).
Forests 12 01613 g018
Table 1. Specification of construction materials.
Table 1. Specification of construction materials.
StructureSpecification
FoundationsGravel
Foam glass
Concrete
Reinforcement
External wallsKVH Structural timber
Oriented strand board (OSB)
High density fiberboard (HDF)
Rock wool
Gypsum plasterboard
Steel connections
Mineral plaster
Partitions IKVH Structural timber
Oriented strand board (OSB)
Brick
Gypsum plasterboard
Steel connections
Partitions IIKVH Structural timber
Rock wool
Gypsum plasterboard
Steel connections
Flooring KVH Structural timber
Steel connections
RoofKVH Structural timber
Oriented strand board (OSB)
High density fiberboard (HDF)
Rock wool
Gypsum plasterboard
Steel connections
Extensive vegetation
OpeningsWood-glass entrance door
Wood inner door
Wood-frame windows with triple glazing
Table 2. Modelling transportation distances from distributor to the construction site.
Table 2. Modelling transportation distances from distributor to the construction site.
Distance (km)Product
100Timber
Steel
Gravel
Foam glass
Windows and doors
50OSB
HDF
Gypsum plasterboard
Rock wool
Brick
30Concrete
20Extensive vegetation
Base plaster
Transport of excavator
200Recuperation system
Table 3. Specification of building maintenance, replacement, and refurbishment.
Table 3. Specification of building maintenance, replacement, and refurbishment.
StageActivityFrequency
B2 Maintenance VarnishingInterior—every 20 years
Exterior—every 10 years
Cleaning of recuperation and photovoltaic panels
Cleaning of windows
Two times a year
Cleaning of floor
Vacuum cleaning
Every week
B4 Replacement Filters for recuperation systemOnce a year
Blower and heat exchange unit
Heat pump
Every 20 years
Photovoltaic panelEvery 30 years
CoolantsEvery 16 years
B5 Refurbishment Inner door
Repainting
Once in a lifetime
Table 4. Characterization results of the building life cycle.
Table 4. Characterization results of the building life cycle.
StageAD-EAD-FGWPODPHTFAEMAETEPOPAPEP
A1–A37.85865.0878.925.65267.3486.86142.73763.2924.52393.34189.53
A40.0318.011.200.220.550.190.381.840.163.870.89
A50.038.201.030.0511.602.284.3917.940.8011.2814.75
B10.000.000.090.000.000.000.000.008.170.000.00
B20.0318.651.720.212.082.654.7511.450.5712.507.50
B44.79103.1620.989.3669.5147.8659.7057.435.1791.7237.23
B50.1313.811.260.090.950.732.0110.190.627.965.55
B64.06754.6179.0913.68130.27142.88229.95507.3620.24481.80323.66
B70.000.050.000.000.000.000.010.060.000.020.01
Note: AD-E—abiotic depletion of elements (kg Sb eq); AD-F—abiotic depletion of fossil fuels (GJ); GWP—global warming potential (t CO2 eq); ODP—ozone depletion potential (g CFC-11 eq); HT—human toxicity (t 1.4-DB eq); FAE—freshwater aquatic ecotoxicity (t 1.4-DB eq); MAE—marine aquatic ecotoxicity (kt 1.4-DB eq); TE—terrestrial ecotoxicity (kg 1.4-DB eq); POP—photochemical oxidation potential (kg 1.4-DB eq); AP—acidification potential (kg 1.4-DB eq); EP—eutrophication potential (kg 1.4-DB eq).
Table 5. Sensitivity analysis regarding 40- and 60-year lifetimes of the building (results are given as percentage change in impact).
Table 5. Sensitivity analysis regarding 40- and 60-year lifetimes of the building (results are given as percentage change in impact).
LifetimeStageAD-EAD-FGWPODPHTFAEMAETEPOPAPEP
40 yearsA1–A311.9311.1012.6018.979.1815.8715.419.3713.0513.4414.83
A411.9311.1012.6018.979.1815.8715.419.3713.0513.4414.83
A511.9311.1012.6018.979.1815.8715.419.3713.0513.4414.83
B1 −9.92 −9.56
B2−10.46−11.12−9.92−4.82−12.65−7.30−7.67−12.48−9.56−9.24−8.14
B4−10.46−11.12−9.92−4.82−12.65−7.30−7.67−12.51−9.56−9.25−8.14
B5−10.46−11.12−9.92−4.82−12.65−7.30−7.67−12.51−9.56−9.25−8.14
B6−10.46−11.12−9.92−4.82−12.65−7.30−7.67−12.51−9.56−9.25−8.14
B7−10.46−11.12−9.92−4.82−12.65−7.30−7.67−12.51−9.56−9.25−8.14
60 yearsA1–A3−9.63−9.09−10.07−13.75−7.76−12.05−11.78−7.89−10.35−10.59−11.44
A4−9.63−9.09−10.07−13.75−7.76−12.05−11.78−7.89−10.35−10.59−11.44
A5−9.63−9.09−10.07−13.75−7.76−12.05−11.78−7.89−10.35−10.59−11.44
B1 7.92 7.58
B28.459.107.923.5010.695.545.8610.577.587.296.28
B48.449.097.923.5010.695.545.8610.537.587.286.27
B58.449.107.923.5010.695.545.8610.537.587.296.28
B68.449.107.923.5010.695.545.8610.537.587.296.28
B78.449.107.923.5010.695.545.8610.537.587.296.28
Table 6. Effect of masonry construction on the environmental impact (results are given as percentage change in impact).
Table 6. Effect of masonry construction on the environmental impact (results are given as percentage change in impact).
StageAD-EAD-FGWPODPHTFAEMAETEPOPAPEP
A1–A3−31.88−1.0011.4013.06−73.80−43.45−13.32−32.03−9.14−9.43−14.87
A4185.10261.21255.41261.61277.22230.54245.99265.40253.34261.27257.00
A50.3216.17−18.6033.88−3.49−6.24−45.09−28.96−74.56−60.98−91.27
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Vaňová, R.; Igaz, R.; Němec, M.; Štefková, J.; Štefko, J. A Passive Wood-Based Building in Slovakia: Exploring the Life Cycle Impact. Forests 2021, 12, 1613. https://doi.org/10.3390/f12121613

AMA Style

Vaňová R, Igaz R, Němec M, Štefková J, Štefko J. A Passive Wood-Based Building in Slovakia: Exploring the Life Cycle Impact. Forests. 2021; 12(12):1613. https://doi.org/10.3390/f12121613

Chicago/Turabian Style

Vaňová, Rozália, Rastislav Igaz, Miroslav Němec, Jaroslava Štefková, and Jozef Štefko. 2021. "A Passive Wood-Based Building in Slovakia: Exploring the Life Cycle Impact" Forests 12, no. 12: 1613. https://doi.org/10.3390/f12121613

APA Style

Vaňová, R., Igaz, R., Němec, M., Štefková, J., & Štefko, J. (2021). A Passive Wood-Based Building in Slovakia: Exploring the Life Cycle Impact. Forests, 12(12), 1613. https://doi.org/10.3390/f12121613

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop