Next Article in Journal
Towards Characterization of Indoor Environment in Smart Buildings: Modelling PMV Index Using Neural Network with One Hidden Layer
Next Article in Special Issue
Experimental Investigation of the Potential of a New Fabric-Based Evaporative Cooling Pad
Previous Article in Journal
Has China’s Belt and Road Initiative Intensified Bilateral Trade Links between China and the Involved Countries?
Previous Article in Special Issue
Implications of BREEAM Sustainability Assessment on the Design of Hotels
Open AccessArticle

Carbon Footprint of Dwelling Construction in Romania and Spain. A Comparative Analysis with the OERCO2 Tool

ArDiTec Research Group, Departament of Architectural Constructions II, Higher Technichal School of Building Engineering, Universidad de Sevilla, 41012 Seville, Spain
Department of Civil Engineering, Transilvania University of Brasov, 500036 Brașov, Romania
Author to whom correspondence should be addressed.
Sustainability 2020, 12(17), 6745;
Received: 13 July 2020 / Revised: 6 August 2020 / Accepted: 17 August 2020 / Published: 20 August 2020


CO2 emissions due to the construction sector represent 40% of the total, either directly by the use of the building or indirectly by the emissions incorporated in construction materials and products. It is important to achieve a change in this sector to introduce these concepts in a simple way. There are various tools for evaluating emissions in construction projects. In the present work, the OERCO2 tool is used. This work studies housing projects in two European countries belonging to significantly different regions, Spain (Andalusia) and Romania (Bucharest and Transylvania). Although concrete or masonry structures are mainly used in Romania, due to an increased demand for residential buildings in recent years, a new niche has appeared in the construction sector: metallic and mixed (metal–concrete) structures for multi-storied buildings. For these reasons, a comparison between concrete and metallic buildings can be made in order to highlight their environmental impact. Twenty-four projects are selected from Romanian projects with metallic structures, and Spanish projects with concrete structures. They are also differentiated according to the type of foundation used. As expected, buildings with a metallic structure have more economic and environmental impact than reinforced concrete. The materials with greater impact are metal, concrete, cement, and ceramic products. The potential of the tool for the evaluation of various construction solutions, materials, and project phases is demonstrated.
Keywords: carbon footprint; assessment tool; dwelling construction; cost control carbon footprint; assessment tool; dwelling construction; cost control

1. Introduction

Various environmental reports carried out in recent years highlight the construction sector as one of the main consumers of energy and generators of CO2 emissions among the various industrial sectors, with estimates of 30–40% of the total environmental impact produced [1]. This concern has forced the appearance of different types of tools to assess these impacts: through certification and standardization, the promotion of international standards to use environmental labeling for construction products [2,3,4,5], the development and application of life cycle analysis (LCA) [6,7,8], and the environmental management of buildings from a life cycle perspective [9,10]. However, the implementation of these standards is not always easy to achieve, due to barriers of all kinds, economic, technical, practical, and cultural, which prevent professionals from selecting materials with less environmental impact [11,12].
If we focus on the analysis of the life cycle of buildings, the manufacturing and construction phase of the building life cycle, concentrated in a short period of time (1–2 years), causes the most intense environmental impact, mainly due to the consumption of concrete and steel for the structure, which represents a high percentage of the emissions produced during this phase [13,14]. This impact is diluted if the building’s useful life is lengthened. The use and maintenance phase is generally responsible for 80–90% of the CO2 emissions generated during the life cycle of the building [15], almost 60% of which is caused by the demand for energy for heating and cooling [16]. This implies that, in new standards such as zero energy buildings, emissions during the construction phase represent a higher percentage of the total emissions throughout the life cycle [17]. Therefore, once the energy consumption during the use phase is reduced, researchers’ attention should be focused on materials that require less energy for their production [18].
Most of the recent studies that propose methodologies to estimate the environmental impact of buildings or the application of ecological indicators to the case studies of buildings have focused on aspects such as LCA [19], the analysis of energy consumption throughout of the life cycle [20], the carbon footprint of the life cycle [21], or a combination of these methods [22,23]. In recent years, these studies have been incorporated into more powerful computing tools, which is generating a new field of action for LCA, as is the case for building information modeling (BIM) platforms [24].
However, the LCA methodology and its derivatives are not always easy to implement by non-specialized users, and neither is their communication. For this reason, other methodologies have been implemented that have a smaller scope but are easier to use and implement by the agents involved in construction. Among the most employed, we find the ecological footprint (EF) or the carbon footprint (CF). The CF is an indicator of emissions of greenhouse gases generated by a given process [25], which stands out due to its simplicity and direct relationship with the main objectives of the Kyoto Protocol [26], along with its easy application in decision-making and environmental policy [27]. There are a large number of bibliographic reviews related to the use of the CF indicator in construction [28], however, the results are not always comparable, due to the absence of a methodology that follows international standards [29]. For this reason, studies have also been carried out in recent years to establish scales that allow for the definition of reasonable ranges of CO2 emissions in construction processes [30].
Tools are in place that can ensure that new and already built buildings meet minimum requirements related to environmental sustainability. Most of these systems are currently developed by two international organizations [31]: the World Green Building Council (GBC), which develops tools from an international system to obtain sustainability data for buildings, adapting them to each country, and BRE Global is another independent organization that develops the BREEAM method.
In Spain, there is a variety of these tools that include the calculation of the CF of buildings in some way, for example, LEED or BREEAM, whose use has spread in the country thanks to national organizations such as the Spanish Green Building Council [32] and BREEAM Spain [33]. These tools include, among the categories evaluated, the CO2 emissions due to the production of construction materials and the operational energy consumption; however, the final score does not reflect these CO2 emissions, so it does not report each result separately for a better understanding and subsequent analysis of possible improvements.
However, other alternatives have emerged from various research projects in the last decade in Spain. For example, SpainGBC has presented VERDE tools [32], a set of environmental impact assessment tools for design assistance (HADES), new buildings (VERDE NE), rehabilitation (VERDE RH), and urban development (VERDE DU). In this set of tools, the CF obtains the highest percentage of the score, so it prevails over other sources of environmental impact. ECOMETRO is an open-source and online tool to measure the environmental impact of buildings [34]. The information generated is similar to an environmental product declaration (EPD), but it applies to entire buildings.
Highly specialized platforms such as the BEDEC cost database, SOFIAS tool [35], or E2CO2Cero [36] allow for the detailed calculation of CO2 emissions according to the bill of quantities of a project. BEDEC was developed by the Institute of Construction Technology of Catalonia (ITeC), and uses environmental data of construction materials from the Ecoinvent database [37], known for being one of the most complete environmental databases at the European level [38] and for its integration with Simapro LCA software [39]. The SOFIAS tool uses data from the OpenDAP database [31,35]. An intermediate solution is E2CO2Cero [36], supported by the Basque Government, which is a software that estimates the embodied energy and CF of a building according to the materials consumed and the construction processes [36]. This tool also has two different versions: complete and simplified. The first one requires the presentation of the bill of quantities of the project, which is considered the appropriate way to reach the general public and create social awareness. A table with the scopes of each tool is included (Table 1).
In Romania, the awareness of green buildings and sustainable building materials has increased significantly over the past 10 years. The first LEED and BREEAM certifications appeared in 2008–2009. Currently in Romania, there are 39 buildings with BREEAM certificates, 21 with LEED, 3 with DGNB (German Sustainable Building Council) [40], and more than 4600 houses and apartments certified or in progress within the GREEN HOMES certification scheme developed by the Romania Green Building Council (GBC) [41].
The tools used by Romanian evaluators to calculate CO2 emissions of buildings are One Click LCA, Integrated Environmental Solution (IES VE Pro) [42], GaBi [43], 360 Optimi [44], and others. All of these require data on the type of material, the name of the product, thickness, quantity, transport (distance and type), and durability.
Colliers International Romania used One Click LCA to calculate the entire building life cycle assessment for their first LEED v4 project, as part of LEED certification. The project aimed to achieve a Gold Level certification [45]. GaBi software [43] supported a study on the LCA methodology applied to optimize municipal solid waste management (MSW) systems in Cluj county, Romania.
Romania GBC has established procedures for EPDs to be easily integrated into environmental certification tools such as GREEN HOMES [41] and is promoting EPDs for the recognition of points in international LEED or BREEAM certification. In the case of the Living Building Challenge certification system, its materials category is designed to foster a successful materials economy that is non-toxic, transparent, and socially equitable [46].
In Romania, there is no accredited body to issue EPDs, and all declarations are issued by international entities. The National Institute for Research and Development in Buildings, Urban Planning and Regional Sustainable Development (URBAN INCERC), established in 2009, is the only recognized institution that tests materials and issues performance certifications.
Compared to Spain, in Romania, there are no tools such as the BEDEC cost database, SOFIAS, or the E2CO2Cero tool that can be used to calculate CO2 emissions. There is cost-estimating software based on the quantities of materials, labor, transportation, and equipment used for buildings, but they do not include parameters such as energy consumption, CO2 emissions, or other environmental data.
From this point of view, an instrument capable of estimating the CF of buildings, which is also available in Romania, is a necessity nowadays and may be important for the future development of the construction sector due to the possibility of increasing the awareness of all participants in the construction industry regarding environmental problems.
The experience of the authors in methodologies for calculating carbon footprints (CFs) is presented through an open-source software to estimate the CF of architectural projects from the design phase and the tool is part of the OERCO2 project [47]. It is developed for educational purposes and free access with an Erasmus Project granted by the European Union, and member countries include Spain and Romania. This research is part of the tool validation for the calculation of carbon emissions in the construction phase of the building life cycle [47,48]. In the present work, the OERCO2 tool evaluates the CO2 emissions of the construction phase, including the extraction and manufacture of materials, as well as the management of construction and demolition waste (RCD) and the economic impact, and is compared to the rest of the tools in Table 1. Even though it does not cover all the aspects, it is easy to use and free accessible, making it an interesting teaching tool for college students and professionals [47]. The tool is valid to evaluate projects at the design stage.
The performance of this tool is explained through a comparative analysis of projects in both countries, Spain and Romania, which are part of the OERCO2 project. Representative typologies are assessed. In the particular case of studies in Romania, the CF of seismic reinforcements [49] is assessed. Additionally, a sensitivity analysis of the tool in these case studies is done.
A list with corresponding acronyms is included: Life cycle analysis (LCA); ecological footprint (EF); carbon footprint (CF), Green Building Council (GBC); Andalusian construction information classification system (ACICS); basic costs (BCs), auxiliary costs (ACs); simple unitary costs (SCs); life cycle inventory (LCI); metallic structure (MS).

2. Materials and Methods

The methodology for assessing the CF of the construction of residential building is based on the bill of the quantities of the project and a classification system for construction work that breaks down this information for materials, labor, and machinery (Figure 1). Budgets for 140 different projects are analyzed and classified; their budgets are reorganized into a construction breakdown system (CBS) that makes it easy to make comparisons. This organizing system has been successfully applied in previous research to assess the ecological footprint of buildings [50,51,52,53,54,55,56] and to estimate the generation of construction waste [45].
For the quantification of resources, the Andalusian construction cost database (ACCD) and its information classification system (ACICS) [57,58] are used, which estimate costs in the construction sector, and their use is mandatory in public works in Andalusia (Spain). The ACICS uses a hierarchical organization for work units. This is represented in Figure 2, with the example of a collector of the sewage system, showing categories called chapters, corresponding to the first two numbers of the code (for example, earthworks, foundations, installations, sewage system, etc.), which are subsequently divided into subcategories.
The base of the ACCD structure is formed by the basic costs (BCs), which are materials, machinery, or manpower, and those are added to form auxiliary costs (ACs) and simple unitary costs (SCs); the latter represent the various activities or work units (Figure 2). These three types of costs are those used by the OERCO2 tool for its calculations. The ASICS has been revised and adapted to construction in Romania through the analysis of housing construction projects facilitated by the project partners, but the costs refer to Spain to facilitate the comparison between countries.
Environmental data included in the OERCO2 software are obtained from the Ecoinvent database through Simapro, which was chosen to cover all the materials commonly used in the construction of buildings [57]. In order to obtain the CO2 emissions embodied in construction materials, their life cycle inventory (LCI) is analyzed by applying the Intergovernmental Panel on Climate Change (IPCC) 100a methodology, which is used by the carbon footprint indicator to isolate CO2 and other Greenhouse Gases (GHG) emissions from the LCI. A list of the main construction materials and their corresponding carbon footprints, as obtained from LCA data, is included in Table 2.


The OERCO2 tool [48] is an online application that allows for estimating the CF generated in the construction of residential buildings. It is derived from several previous research studies developed by the authors [50,51,54,55,56,60,61] and includes the evaluation of CO2 emissions for the construction processes of 140 different types of residential buildings. The tool has been tested and evaluated by all the project partners and includes all the typologies and construction characteristics commonly used in Spain, Portugal, Italy, and Romania.
The data obtained from the bill of the quantities of each project are structured in accordance with the ACICS [57,58] mentioned above and are expressed in units per surface constructed (u/m2). The average quantity of each activity (Qi) of the 140 evaluated projects is obtained through a statistic process for each type of construction according to the model to assess the construction of buildings [50,62]. These average quantities are transformed into materials, labor, and machinery. The amounts of the various resources involved is evaluated using the CF methodology to obtain the emissions of CO2 generated due to all the construction processes.
The OERCO2 tool has an initial screen where the user specifies general information about the project to be analyzed, such as number of floors, the type of structure, and floor area (Figure 3). The selection of these initial data allows for assigning one similar project from the database which collects the resource quantities needed in the building (Qi) [50,60].
In the following step, the user specifies data on the project related to construction solutions for each element (Figure 3). The OERCO2 tool uses this information to select which of the available SCs should be used for calculations. As mentioned above, SCs are made up of BCs and ACs. In this tool, the resources (BCs) contain not only economic information, but also environmental information (for example, CO2 emission factor).
Following this logic, when you select one specific work unit, the SC is assigned two factors: economic cost (€/unit of reference) and environmental cost (kg CO2 eq/unit of reference), where the unit of reference is the selected SC (Figure 1). Initial data selection can meet the Qi of the work unit, which allows for obtaining the total cost and CF of this activity through Equations (1) to (4) whose factors are defined in Table 3.
CFMAT = (Σi Cmi × UCFMAT) + (UCFTRAN × Cmi)
V = (P × T × Ef)
The transport of materials is included in the environmental impact by making approximations of the distance covered [66]. The transport is done by truck. As for the distance from the factory to the work site, most materials are manufactured close to the construction site, i.e., 250 km. In the specific case of concrete, a maximum distance of 20 km is considered before solidification starts [67]. The tons of CO2 can be obtained with the data in Table 4. Material transport in Romania is similar to that in Andalusia, where pick-up points are in warehouses in peripheral zones, close to main cities. Fresh concrete has a similarly limited time for its transport.
The tool displays the total cost of building construction (expressed in € and €/m2) and the total CF (in kg CO2 eq and kg CO2 eq/m2), the latter is also divided into materials and machinery (Figure 2).
In the OERCO2 tool, the users do not require specialized knowledge on the environmental evaluation of construction projects, such as the calculation of embodied energy or the CO2 emission factor associated with construction processes. Instead, the users only need to know the solutions implemented in the building’s construction. The OERCO2 tool has been verified by all the partners in the project to include variations between countries in processes and construction solutions [48,68].

3. Case Studies

Two project member countries are selected, for which building typologies are included in the OERCO2 tool, with Spain and Romania being two of the most remote countries and where more constructive differences can be found. The OERCO2 tool presents the alternative of concrete and metal structures, the latter option being included as it is a type of structure used in Romania, and therefore the analysis of these two countries and construction typologies is carried out.
Projects of Romanian (Bucharest and Transylvania) buildings with metal structures are studied and compared with the same typology of Spanish (Andalusia) buildings with a reinforced concrete structure. Although concrete or masonry structures are mainly used in Romania, due to an increased demand for residential buildings in recent years, the necessity to reduce the execution time, the necessity to improve quality and price control, the need for larger dimensions for open spaces, the development of automated execution technologies (welding), the increase in prices for formwork (especially labor), and the need for much better resilience, a new niche appeared in the construction sector: metallic and mixed (metal–concrete) structures for multi-storied buildings. A very important feature of metal structures is their multifunctionality and their ability to adapt, modify, and rebuild, as well as better seismic behavior, Romania being a country characterized by relatively strong earthquakes. Steel parts are prefabricated according to specific standards, are easy to transport, and their assembly is fast, with low costs and low dependence on environmental conditions [49].
Firstly, the current situation of construction in Romania is studied and the OERCO2 tool methodology is applied to residential buildings and compared with the study carried out in Spain. The chosen typology in both countries is the multi-family residential building, with the same number of floors below and above ground, with one of three different types of foundations, isolated footings, reinforced slab, and piles. Both countries use the most common constructive systems.

3.1. Statistical Data

From the statistical data, the most representative type of project in Romania is obtained. According to Table 5, dwellings represents nearly 80% of the buildings constructed since 2014, with an average floor area per apartment of 113 m2 [69]. This percentage remains stable very year.
Data reflected in Table 5 justify the study of housing construction since it is an important sector and it maintains a stable rhythm of new buildings in 2015, slightly decreases in 2016, and goes up in 2017 and 2018, even exceeding previous years. The data are based on the total number of permits issued for residential buildings, with a large number of apartments/housing (units) finally authorized to be built, obtaining the total floor area in the last column.
The dwelling characteristics, according to the report entitled “National Housing Strategy” and published by the Romanian Ministry of Environment, Water and Forests [70] in 2015, states that, in urban areas, approximately 70% of the housing units in Romania were multi-family buildings (blocks of flats/apartments) of 10 apartments or more, and the rest were individual dwellings. The building height was limited because elevators have high costs for construction and operation. The majority of multi-storied buildings were up to five floors, consisting in the ground floor and four upper floors [71]. Fewer floors were not economically feasible in terms of total floor area per lot.
In the case of Spain, according to data taken between the years 2007–2010 from the National Statistics Institute (INE) [72] and published studies [62], 78% of the constructed buildings were residential, of which 33% correspond to the type of building with four or five floors above ground.

3.2. Selected Projects

Once the statistical study was carried out, 24 types of projects were selected in Romania and 24 projects in Spain, in the OERCO2 tool, in Table 6 and Table 7, Romanian projects have metallic structures, and in Spain, reinforced concrete structures. Both types of projects are also classified according to type of foundation, isolated footings, reinforced concrete slab, and piles. The roof could be inclined or horizontal and there are buildings with a basement (one or two floors) and without a basement. The use on the ground floor can be for premises or houses. Table 6 includes the general characteristics that are common in the 48 projects. The different construction characteristics between Romania and Spain are defined in Table 7. Data for Spain are based on the INE data that have already been analyzed [62].
Table 7 includes the data selected in the tool for both cases according to the proposed alternatives, which are similar except for the type of slab, horizontal roof construction system, façade cladding, and type of insulation. Additionally, solar panels for domestic hot water are installed in Spain.

4. Results and Discussion

According to the characteristics of the projects proposed from the statistical analysis of each country, the 48 projects’ data are classified and coded according to the OERCO2 tool information in Table 8 and average values are obtained, the numbers are generic for the software and do not have a specific meaning. The comparison is not only of Spanish and Romanian projects but also different constructive solutions are employed in each country that give rise to 24 combinations in each (Table 8). The codes are defined to identify the differences in the combinations as set in Table 8: column foundation, number underground floors, ground floor, and roof type. The MS and CS coding corresponds to the typical metal structure projects in Romania and the concrete structures of the projects in Spain, respectively. The numeric codes are those internally used by the software.
From the building typology and construction characteristics of the projects, the unit (Qi) and total (Qt) quantification of each project is obtained, from which the economic and CF results are obtained, and included in Supplementary Data Tables S1 and S2 (Romania and Spain, respectively).
The quantity of materials used in the projects is analyzed according to the weight, expressed in kg, in addition to the CF, and, finally, the CF is calculated for the construction phases of the projects. Materials are grouped in families: concrete and cement, ceramics and bricks, aggregates and stones, and metals and alloys represent around 80% of the total weight.
In Figure 4, the materials are analyzed according to the weight of metallic structure (MS) buildings in Romania, and in Figure 5, concrete structure (CS) buildings in Spain. Buildings with an MS need a larger amount of materials, except in the case of aggregates, whose values are similar in both cases. Concrete and cement are the heaviest materials in both countries. Pile foundation buildings have the highest consumption, followed by those of isolated footings and finally of reinforced slab. Ceramics and bricks have a higher consumption in Romanian buildings, since façade cladding is thicker than in Spain. Aggregates and stones are used almost equally in the three types of foundations. Lastly, metals and alloys have a higher consumption, as expected, in MS buildings.
The analysis of the CF of materials introduces a new important family, plastics. Figure 6 shows that MS buildings in Romania produce a greater impact than those in Spain with CS (Figure 7) for all the families, except plastics, due to the use of projected polyurethane insulation in CS buildings. In MS projects (Figure 6), metals/alloys and concretes/cements produce the greatest CF, as the buildings with piles produce a slightly greater impact compared to the other two types. Ceramics/bricks also produce high CF values, due to their use in façades and interior cladding, and lastly plastics. However, in the case of CS buildings (Figure 7), the greatest impact is produced by concretes/cements, with those with piles and isolated footing being more polluting than those of reinforced slab. Ceramics/bricks have a much smaller impact, since Spanish buildings have less thick façades than Romanian ones, followed by metals and alloys, and then plastics. These results are similar to those of other studies [48].
The patterns in Figure 4, Figure 5, Figure 6 and Figure 7 are due to the project classification in Table 6, first fixing foundations, then the number of underground floors, followed by the type of construction, such as ground level use, and, finally, the roof type.
Simple costs included in the OERCO2 tool with the greatest impact (according to the ACCD) are 3HAL00002 (m3 slab concrete); 03HMM00002 (m3 mass concrete); 03CPS00007 (m pile on site); 05HHJ0010 (m3 concrete assembled on beams); 05FBB00007 (m2 waffle slab with concrete caissons); 05FUS00007 (m2 one-way slab with concrete vaults); 05ACS00000 (kg steel in hot-rolled profiles); 05HAC00015 (kg corrugated steel in bars); 06LMM00101 (m2 one-foot brick wall); 06LPC00001 (m2 0.5-foot brick wall).
The following analysis is carried out by the construction phases or chapters of the project, as shown in Figure 8 (Romania) and Figure 9 (Spain). It is observed that the chapter with the greatest impact is structures in MS buildings and then the chapter of installations in CS buildings, due to solar panels, which have been mandatory in the construction of new housing in Spain since 2006. The next chapter that produces the greatest impact is masonry, in both countries, including ceramics/bricks for their use in façades, claddings, and partitions. The next important CF value is produced by the foundation phase, with the piles producing the greatest impact in both countries, followed by isolated footings and, lastly, with little difference, reinforced slabs. Of the five chapters, the one with the least impact is that of finishes, with similar values in all the cases analyzed since there are no variations in the construction systems and/or materials used.
A sensitivity analysis of the CF produced by each of the different phases of the projects in each country is carried out, according to the percentage they represent of the total project, which is essential for decision-making at the design level in order to focus on the chapters with the greatest impact and to be able to reduce project emissions using more sustainable materials, based on the obtained results of the analysis.
Thanks to the data obtained from the OERCO2 tool, this analysis can be carried out, and it is presented in Table 9 and Table 10, depending on whether they are from Spain or Romania, respectively, and grouped according to similarity in terms of building typology.
Thus, in the case of projects in Spain with a concrete structure (Table 9), it can be seen that the foundation for piles is the one with the highest CF, with values between 11.23% and 12.73% of the total project impact. The reinforced slab has the lowest CF, 3.57% less than piles.
In the chapter of structures, it is observed that buildings without underground floors have a higher CF than the rest, and in particular those with foundations with isolated footings, with a 2.01% difference from those with a lower CF, which are the buildings founded on piles and with a basement.
In the masonry and installation phases, it can be seen that the buildings that have commercial premises on the ground floor produce higher CFs, the difference being 2.43% for masonry and 1.99% for installations, between the highest and lowest CF projects.
Regarding cladding, the highest CF corresponds to buildings with the highest number of basement floors and without premises on the ground floor, with a difference of 1.08% between those with the highest and lowest value.
In the case of the projects in Romania with a metallic structure (Table 10), the projects with foundations of piles are those with the highest CF, with a difference of 2.86% with respect to the lowest CF, which are those with reinforced slab and without a basement. With respect to Spanish projects, they represent a lower percentage of the total, with an average difference of 2.50%.
The (metallic) structure in the Romanian buildings is the phase with the greatest impact on the project, and it is the foundation with footings that produce the highest CF, 2.72% higher with respect to the reinforced slab and two basement floors. With respect to Spanish concrete structures, they have a much higher CF in all cases, the average difference being 14.48%.
In masonry and installations, the situation is similar to Spanish buildings, those with premises on the ground floor and no basement have a higher CF than those without premises and consist of one or two basement floors, with a difference of 2.14% for masonry and 0.61% for installations between the highest and lowest with respect to the total CF of the project. The masonry values are very similar to those of the buildings in Spain, however, in the installations, by including the solar panels in Spain, the CF is higher by an average value of 8.59%.
Cladding has a similar impact in both countries, buildings without premises and with more basement floors produce a higher CF than those with premises on the ground floor and without a basement, with a difference of 1.20% between those of greater and lesser value. With respect to Spain, Romania has a lower CF of 1.56%.
Finally, an economic and environmental comparison is carried out (Table 11). The economic analysis highlights that MS buildings are more expensive per m2 than CS buildings, and in both cases a pile foundation is the one with the greatest economic impact, followed by isolated footings and reinforced concrete slab. The OERCO2 costs are based on Spanish data.
The Romanian construction cost can be translated into Spanish cost by normalization tools such as European Construction Cost data [73,74], the coefficient for Spanish costs is 0.7052 and for Romanian costs, it is 0.464. In the present work the Spanish costs are used for both countries in order to facilitate the results comparison (Table 11).
Regarding the CF, MS buildings produce the highest emissions and pile foundations produce the greatest impact in both types of buildings, followed by isolated footings and, lastly, reinforced slab. These results are similar to others [68]. Materials (including their transport) are responsible for 95–97% of project emissions. The remaining percentage corresponds to machinery.
Muñoz et al. (2012) [75] carried out a study of the CF of social housing built in Chile, focusing on the LCA of construction materials, which included its implementation. The results showed that the energy of commissioning is negligible, while 35% corresponds to the extraction and manufacture of materials, and 65% to the use and maintenance. In addition, there are bibliographic reviews related to the use of the CF indicator in construction [28], however, the results are not always comparable due to the absence of a methodology that follows international standards [29]. For this reason, studies have also been carried out in recent years to establish scales that allow for defining reasonable ranges of CO2 emissions in construction processes [30].

5. Conclusions

The OERCO2 tool is valid to compare constructive solutions between different project partner countries (in this case, Romania and Spain), because the tool includes the representative characteristics of the buildings in the partner countries. The tool allows for analyzing different constructive systems, in this case, the different types of foundations, structures, masonry, or installations that have been proposed. Therefore, it is possible to determine which constructive solution has the least impact from an economic and environmental point of view. According to the analyzed cases, the most efficient typologies are reinforced concrete buildings, with a significant difference with respect to metallic structures, both economically and environmentally.
For the 48 analyzed typologies, the families of materials that produce the most emissions are: metals/alloys, concretes/cements, and ceramics/bricks and, to a lesser extent, plastics. The structures, installations, foundations, and finishes produce the greatest impacts.
The OERCO2 tool evaluates a project’s CF and economic impact simultaneously at the design stage and in detail, according to the project phases, such as earthwork, foundation, structure, etc. Decisions can be made regarding the construction systems and materials used in order to reduce emissions and economic impact, thus helping to understand and improve the eco-efficiency of projects. Therefore, OERCO2 can be a useful educational tool for architecture and engineering college students.
Of the types of foundation assessed both economically and environmentally, piles produce the highest emissions and cost, and the best option is reinforced slabs followed by insulated footings. The building ground floor use, as a dwelling or premises, also influences cost and emissions, especially in phases such as masonry, installations, or finishes.
All these analyses are important to decide how to design in the most environmentally friendly and economical way. The tool facilitates the decision-making of promoters and technicians, without needing prior knowledge about environmental indicators.

Supplementary Materials

The following are available online at, Table S1: Unit quantities (Qi) according to OERCO2 coding in Romanian projects based on building typology and construction characteristics, Table S2: Unit quantities (Qi) according to OERCO2 coding in Spanish Projects based on building typology and construction characteristics.

Author Contributions

All the authors have equally contributed to the final version of this paper. All authors have read and agreed to the published version of the manuscript.


This work has received funding from the University of Seville and the Junta de Andalucía for the consolidation of the research groups. Reference: TEP-172. 1821012924 (2020/595) and the VI Own Research and Transfer Plan of the University of Seville (VI PPIT-US). This research is also funded by the project: Andalusian Ecological Certificate for Building Construction According to Environmental Indicators Carbon, Ecological and Water Footprint (CEACE). Reference AT17_5913_USE. Financed within the PAIDI 2020 call: Knowledge Transfer Activities by the Ministry of Economy and Knowledge of the Andalusian Government (Spain).


This research has been carried out thanks to the OERCO2 project (code 2016-1-ES01-KA203-025422), an ERASMUS + project co-financed by the European Union and within the framework of an initiative in 2016 (KA2, strategic alliances in the field of education superior), with the support of the Spanish Service for the Internationalization of Education (SEPIE, Spain).

Conflicts of Interest

The authors declare no conflict of interest.


  1. European Parliament—Council of the European Union DIRECTIVE (EU) 2018/844 of the European Parliament and of the Council of 30 May 2018 amending Directive 2010/31/EU on the Energy Performance of Buildings and Directive 2012/27/EU on Energy efficiency (Text with EEA Relevance). Available online: (accessed on 1 August 2020).
  2. UNE, Normalización Española. UNE-EN ISO 14020 Environmental Labels and Declarations—General Principles; UNE: Madrid, Spain, 2002. [Google Scholar]
  3. UNE, Normalización Española. UNE-EN ISO 14025 Environmental Labels and Declarations—Type III Environmental Declarations—Principles and Procedures; UNE: Madrid, Spain, 2006. [Google Scholar]
  4. UNE, Normalización Española. UNE-EN 15804 Sustainability of Construction Works—Environmental Product Declarations—Core Rules for the Product Category of Construction Products; UNE: Madrid, Spain, 2012. [Google Scholar]
  5. UNE, Normalización Española. UNE-EN ISO 14021 Environmental Labels and Declarations—Self-Declared Environmental Claims (Type II Environmental Labelling); UNE: Madrid, Spain, 2017. [Google Scholar]
  6. UNE, Normalización Española. UNE-EN ISO 14040 Environmental Management—Life Cycle Assessment—Principles and Framework; UNE: Madrid, Spain, 2006. [Google Scholar]
  7. UNE, Normalización Española. UNE-EN ISO 14044 Environmental Management—Life cYcle Assessment—Requirements and Guidelines; UNE: Madrid, Spain, 2006. [Google Scholar]
  8. UNE, Normalización Española. UNE-EN 15978 Sustainability of Construction Works. Assessment of Environmental Performance of Buildings. Calculation Methods; UNE: Madrid, Spain, 2012. [Google Scholar]
  9. UNE, Normalización Española. UNE-EN ISO 14001 Environmental Management Systems—Requirements with Guidance for Use; UNE: Madrid, Spain, 2015. [Google Scholar]
  10. International Organization for Standardization (ISO). ISO 15686-5 Buildings and Constructed Assets—Service Life Planning—Part 5: Life-Cycle Costing; ISO: Geneva, Switzerland, 2017. [Google Scholar]
  11. Giesekam, J.; Barrett, J.R.; Taylor, P. Construction sector views on low carbon building materials. Build. Res. Inf. 2016, 44, 423–444. [Google Scholar] [CrossRef]
  12. Giesekam, J.; Barrett, J.; Taylor, P.; Owen, A. The greenhouse gas emissions and mitigation options for materials used in UK construction. Energy Build. 2014, 78, 202–214. [Google Scholar] [CrossRef]
  13. Asif, M.; Muneer, T.; Kelley, R. Life cycle assessment: A case study of a dwelling home in Scotland. Build. Environ. 2007, 42, 1391–1394. [Google Scholar] [CrossRef]
  14. Dimoudi, A.; Tompa, C. Energy and environmental indicators related to construction of office buildings. Resour. Conserv. Recycl. 2008, 53, 86–95. [Google Scholar] [CrossRef]
  15. Radhi, H.; Sharples, S. Global warming implications of facade parameters: A life cycle assessment of residential buildings in Bahrain. Environ. Impact Assess. Rev. 2013, 38, 99–108. [Google Scholar] [CrossRef]
  16. You, F.; Hu, D.; Zhang, H.; Guo, Z.; Zhao, Y.; Wang, B.; Yuan, Y. Carbon emissions in the life cycle of urban building system in China-A case study of residential buildings. Ecol. Complex. 2011, 8, 201–212. [Google Scholar] [CrossRef]
  17. Cellura, M.; Guarino, F.; Longo, S.; Mistretta, M. Energy life-cycle approach in Net zero energy buildings balance: Operation and embodied energy of an Italian case study. Energy Build. 2014, 72, 371–381. [Google Scholar] [CrossRef]
  18. Scheuer, C.; Keoleian, G.A.; Reppe, P. Life cycle energy and environmental performance of a new university building: Modeling challenges and design implications. Energy Build. 2003, 35, 1049–1064. [Google Scholar] [CrossRef]
  19. Buyle, M.; Braet, J.; Audenaert, A. Life cycle assessment in the construction sector: A review. Renew. Sustain. Energy Rev. 2013, 26, 379–388. [Google Scholar] [CrossRef]
  20. Ramesh, T.; Prakash, R.; Shukla, K.K. Life cycle energy analysis of buildings: An overview. Energy Build. 2010, 42, 1592–1600. [Google Scholar] [CrossRef]
  21. Schwartz, Y.; Raslan, R.; Mumovic, D. The life cycle carbon footprint of refurbished and new buildings—A systematic review of case studies. Renew. Sustain. Energy Rev. 2018, 81, 231–241. [Google Scholar] [CrossRef]
  22. Cabeza, L.F.; Rincón, L.; Vilariño, V.; Pérez, G.; Castell, A. Life cycle assessment (LCA) and life cycle energy analysis (LCEA) of buildings and the building sector: A review. Renew. Sustain. Energy Rev. 2014, 29, 394–416. [Google Scholar] [CrossRef]
  23. 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]
  24. Marrero, M.; Wojtasiewicz, M.; Martínez-Rocamora, A.; Solís-Guzmán, J.; Alba-Rodríguez, M.D. BIM-LCA Integration for the Environmental Impact Assessment of the Urbanization Process. Sustainability 2020, 12, 4196. [Google Scholar] [CrossRef]
  25. Weidema, B.P.; Thrane, M.; Christensen, P.; Schmidt, J.; Løkke, S. Carbon Footprint. A Catalyst for Life Cycle Assessment? J. Ind. Ecol. 2008, 12, 3–6. [Google Scholar] [CrossRef]
  26. Cagiao, J.; Gómez, B.; Doménech, J.L.; Gutiérrez Mainar, S.; Gutiérrez Lanza, H. Calculation of the corporate carbon footprint of the cement industry by the application of MC3 methodology. Ecol. Indic. 2011, 11, 1526–1540. [Google Scholar] [CrossRef]
  27. Bare, J.C.; Hofstetter, P.; Pennington, D.W.; Haes, H.A.U. Midpoints versus endpoints: The sacrifices and benefits. Int. J. Life Cycle Assess. 2000, 5, 319–326. [Google Scholar] [CrossRef]
  28. Geng, S.; Wang, Y.; Zuo, J.; Zhou, Z.; Du, H.; Mao, G. Building life cycle assessment research: A review by bibliometric analysis. Renew. Sustain. Energy Rev. 2017, 76, 176–184. [Google Scholar] [CrossRef]
  29. Dossche, C.; Boel, V.; De Corte, W. Use of Life Cycle Assessments in the Construction Sector: Critical Review. Procedia Eng. 2017, 171, 302–311. [Google Scholar] [CrossRef]
  30. Chastas, P.; Theodosiou, T.; Kontoleon, K.J.; Bikas, D. Normalising and assessing carbon emissions in the building sector: A review on the embodied CO2 emissions of residential buildings. Build. Environ. 2018, 130, 212–226. [Google Scholar] [CrossRef]
  31. Oregi Isasi, X.; Tenorio, J.A.; Gazulla, C.; Zabalza, I.; Cambra, D.; Leao, S.O.; Mabe, L.; Otero, S.; Raigosa, J. SOFIAS—Software for life-cycle assessment and environmental rating of buildings. Inf. De La Constr. 2016, 68. [Google Scholar] [CrossRef]
  32. SpainGBC VERDE Tool Website. Available online: (accessed on 22 November 2019).
  33. BREEAM.ES Website. Available online: (accessed on 9 November 2019).
  34. Asociación Ecómetro Ecometro LCA Tool Website. Available online: (accessed on 9 November 2019).
  35. SOFIAS Project SOFIAS Project Website. Available online: (accessed on 9 November 2019).
  36. e2CO2cero Tool Website. Available online: (accessed on 9 November 2019).
  37. Ecoinvent Centre Ecoinvent Database. Available online: (accessed on 15 November 2019).
  38. Martínez-Rocamora, A.; Solís-Guzmán, J.; Marrero, M. LCA databases focused on construction materials: A review. Renew. Sustain. Energy Rev. 2016, 58, 565–573. [Google Scholar] [CrossRef]
  39. PRé Sustainability SimaPro 8. Available online: (accessed on 9 November 2019).
  40. Council, G.S.B. DGNB. German Sustainable Building Council. Available online: (accessed on 7 June 2020).
  41. Romania Green Building Council GREEN HOMES Certification System. Available online: (accessed on 7 June 2020).
  42. Integrated Environmental Solutions Limited Intelligent Communities Lifecycle. Available online: (accessed on 26 November 2019).
  43. Popiţ, G.-E.; Baciu, C.; Rédey, A.; Frunzeti, N.; Ionescu, A.; Yuzhakova, T.; Popovici, A. Life cycle assessment (LCA) of municipal solid waste management systems in Cluj County, Romania. Environ. Eng. Manag. J. 2017, 16, 47–57. [Google Scholar]
  44. 360 Optimi. Available online: (accessed on 5 July 2020).
  45. Colliers International Romania. Available online: (accessed on 4 July 2020).
  46. Living Building Challenge Standard 3.0. Available online: (accessed on 5 July 2020).
  47. University of Seville and Partners OERCO2. Available online: (accessed on 21 June 2020).
  48. Solís-Guzmán, J.; Rivero-Camacho, C.; Alba-Rodríguez, D.; Martínez-Rocamora, A. Carbon footprint estimation tool for residential buildings for non-specialized users: OERCO2 project. Sustainability 2018, 10, 1359. [Google Scholar] [CrossRef]
  49. Proiectare, P.D.E. COD DE PROIECTARE SEISMICĂ—PARTEA I—PENTRU CLĂDIRI; Ministerul Lucrărilor Publice, Dezvoltării și Administrației: Bucharest, Romania, 2013.
  50. González-Vallejo, P.; Marrero, M.; Solís-Guzmán, J. The ecological footprint of dwelling construction in Spain. Ecol. Indic. 2015, 52, 75–84. [Google Scholar] [CrossRef]
  51. Solís-Guzmán, J.; González-Vallejo, P.; Martínez-Rocamora, A.; Marrero, M. The Carbon Footprint of Dwelling Construction in Spain. In The Carbon Footprint Handbook; Taylor and Francis Group: Abingdon, UK, 2015; Volume 1, pp. 261–263. ISBN 978-1-4822-6222-3. [Google Scholar]
  52. Solís-Guzmán, J.; Marrero, M.; Ramírez-de-Arellano, A. Methodology for determining the ecological footprint of the construction of residential buildings in Andalusia (Spain). Ecol. Indic. 2013, 25, 239–249. [Google Scholar] [CrossRef]
  53. Solís-Guzmán, J.; Marrero, M.; Montes-Delgado, M.V.; Ramírez-de-Arellano, A. A Spanish model for quantification and management of construction waste. Waste Manag. 2009, 29, 2542–2548. [Google Scholar] [CrossRef]
  54. Martínez-Rocamora, A.; Solís-Guzmán, J.; Marrero, M. Ecological footprint of the use and maintenance phase of buildings: Maintenance tasks and final results. Energy Build. 2017, 155, 339–351. [Google Scholar] [CrossRef]
  55. Marrero, M.; Puerto, M.; Rivero Camacho, C.; Freire Guerrero, A.; Solís-Guzmán, J. “Assessing the economic impact and ecological footprint of construction and demolition waste during the urbanization of rural land”. Resour. Conserv. Recycling. Resour. Conserv. Recycl. 2017, 117, 160–174. [Google Scholar] [CrossRef]
  56. González-Vallejo, P.; Muñoz-Sanguinetti, C.; Marrero, M. Environmental and economic assessment of dwelling construction in Spain and Chile. A comparative analysis of two representative case studies. J. Clean. Prod. 2019, 208, 621–635. [Google Scholar] [CrossRef]
  57. Marrero, M.; Ramírez de Arellano Agudo, A. The building cost system in Andalusia: Application to construction and demolition waste management. Constr. Manag. Econ. 2010, 28, 495–507. [Google Scholar] [CrossRef]
  58. Consejería de Fomento y Vivienda Junta de Andalucía. Consejería de Fomento y Vivienda. Available online: (accessed on 3 July 2020).
  59. Marrero, M.; Rivero-camacho, C.; Alba-rodríguez, M.D. What are we discarding during the life cycle of a building? Case studies of social housing in Andalusia, Spain. Waste Manag. 2020, 102, 391–403. [Google Scholar] [CrossRef] [PubMed]
  60. González-Vallejo, P. Herramienta para la estimación de costes económicos y ambientales en el ciclo de vida de edificios residenciales. Fase de construcción. Hábitat SustenTable 2018, 8, 32–51. [Google Scholar] [CrossRef]
  61. Alba Rodríguez, D.; Ferreira Sánchez, A.; Marrero, M.; Ramirez de Arellano Agudo, A. Ecological Footprint of Building Recovery: Foundation Pinning Under Emergency Conditions. In Proceedings of the II International Congress on Sustainable Construction and Eco-Efficient Solutions, Seville, Spain, 25–27 May 2015; pp. 35–45. [Google Scholar]
  62. González-Vallejo, P.; Solís-Guzmán, J.; Llácer, R.; Marrero, M. La construcción de edificios residenciales en España en el período 2007-2010 y su impacto según el indicador Huella Ecológica. Inf. De La Construcción 2015, 67, e111. [Google Scholar] [CrossRef]
  63. Instituto para la Diversificación y Ahorro de la Energía (IDAE) Conducción Eficiente de Vehículos Industriales. Informe del Instituto para la Diversificación y Ahorro de la Energía; IDAE: Madrid, Spain, 2012. [Google Scholar]
  64. REE. Red Eléctrica Española Avance; Red Eléctrica de España: Madrid, Spain, 2015. [Google Scholar]
  65. Autoritatea Nationala de Reglementare in Domeniul Energiei. Available online: (accessed on 21 June 2020).
  66. Freire-Guerrero, A.; Alba-Rodríguez, M.D.; Marrero, M. A budget for the ecological footprint of buildings is possible: A case study using the dwelling construction cost database of Andalusia. Sustain. Cities Soc. 2019, 51, 101737. [Google Scholar] [CrossRef]
  67. Spain Government. Instrucción de Hormigón Estructural. Structural Concrete Instruction, Normative Series 2011; Spain Government: Madrid, Spain, 2008.
  68. Solís-Guzmán, J.; Rivero-Camacho, C.; Tristancho, M.; Martínez-Rocamora, A.; Marrero, M. Software for Calculation of Carbon Footprint for Residential Buildings. In Environmental Footprints and Eco-Design of Products and Processes; Springer: Berlin, Germany, 2020; pp. 55–79. [Google Scholar]
  69. National Institute of Statistics of Romania. Organization and Functioning of Official Statistics in Romania. Available online: (accessed on 5 February 2019).
  70. Romanian Government. Strategia Națională a Locuirii 2017–2030; Romanian Government: Bucharest, Romania, 2017.
  71. Bruno, M.; Pleskovic, B. Proceedings of the World Bank Annual Conference on Development Economics, 1994; World Bank Group: Washington, DC, USA, 1995; ISBN 0821329081. [Google Scholar]
  72. Instituto Nacional de Estadísticas (INE) de España. Censo de Población y Viviendas; INE: Madrid, Spain, 2001.
  73. De Groot, I.B.; Bucknal, R.L. European Construction Costs. Available online: (accessed on 3 August 2020).
  74. Vázquez-López, E.; Garzia, F.; Pernetti, R.; Solís-Guzmán, J.; Marrero, M. Assessment model of end-of-life costs and waste quantification in selective demolitions: Case studies of nearly zero-energy buildings. Sustainability 2020, 12, 6255. [Google Scholar] [CrossRef]
  75. Muñoz, C.; Zaror, C.; Saelzer, G.; Cuchí, A. Estudio del flujo energético en el ciclo de vida de una vivienda y su implicancia en las emisiones de gases de efecto invernadero, durante la fase de construcción Caso Estudio: Vivienda Tipología Social. Región del Biobío, Chile. Rev. De La Construcción 2012, 11, 125–145. [Google Scholar] [CrossRef]
Figure 1. OERCO2 methodology.
Figure 1. OERCO2 methodology.
Sustainability 12 06745 g001
Figure 2. Cost and quantification of economic and Carbon Footprint (CF) model. Source: adapted from González-Vallejo et al. 2019 [56].
Figure 2. Cost and quantification of economic and Carbon Footprint (CF) model. Source: adapted from González-Vallejo et al. 2019 [56].
Sustainability 12 06745 g002
Figure 3. Selection interface for the initial data of the project in the OERCO2 tool [48].
Figure 3. Selection interface for the initial data of the project in the OERCO2 tool [48].
Sustainability 12 06745 g003
Figure 4. Weight per floor area (kg/m2) of families of materials (Romania).
Figure 4. Weight per floor area (kg/m2) of families of materials (Romania).
Sustainability 12 06745 g004
Figure 5. Weight per floor area (kg/m2) of families of materials (Spain).
Figure 5. Weight per floor area (kg/m2) of families of materials (Spain).
Sustainability 12 06745 g005
Figure 6. CF per area (tCO2/m2) by family of materials (Romania).
Figure 6. CF per area (tCO2/m2) by family of materials (Romania).
Sustainability 12 06745 g006
Figure 7. CF per area (tCO2/m2) by family of materials (Spain).
Figure 7. CF per area (tCO2/m2) by family of materials (Spain).
Sustainability 12 06745 g007
Figure 8. CF per area (tCO2/m2) according to chapter of project (Romania).
Figure 8. CF per area (tCO2/m2) according to chapter of project (Romania).
Sustainability 12 06745 g008
Figure 9. CF per area (tCO2/m2) according to chapter of project (Spain).
Figure 9. CF per area (tCO2/m2) according to chapter of project (Spain).
Sustainability 12 06745 g009
Table 1. Comparison of assessment methods.
Table 1. Comparison of assessment methods.
LeedBreeamVerdeEcometroSofiasGabiGreen Homes
Site and constructionXXXXXXX
TransportXX XXXX
Energy managementXXXXXXX
Water managementXXXXXXX
Materials and resources managementXXXXXXX
Waste managementXXXXXXX
ComfortXXXX X
Health XXXX X
Environmental chargesXXXXXXX
ServicesXXX X
Economic aspects X XXX
Social aspects X XX
Table 2. Average values of environmental impacts by family of materials [59].
Table 2. Average values of environmental impacts by family of materials [59].
MaterialCarbon Footprint (t CO2 eq./t)
Aggregates and Stones0.004
Plaster and Pastes0.002
Table 3. Factors to calculate CF of the construction phase of materials and machinery.
Table 3. Factors to calculate CF of the construction phase of materials and machinery.
Construction Material
EMAT: emissions per material (kg CO2/kg material)
Cmi: construction material i (kg)
UCFMAT: unit carbon footprint per material (tCO2eq/kg of material)
UCFTRAN: unit carbon footprint of material transport (tCO2eq/kg of material)
CFMCOMB: Combustion engine machinery (tCO2eq)
UCFCOMB: unit impact of gasoline or gasoil (tCO2eq/l)
Data obtained from Ecoinvent [37]
V: gasoil consumption (liters)
P: power of the electric engine (kW)
T: working time (hours)
Ef: efficiency, liters of gasoil or gasoline consumed per engine power (l/kWh)
ECOMB: emission factor of the combustion engine of gasoil or gasoline
2.616 kg CO2/l [63]
CFMELEC: Electric engine machinery (tCO2eq)
EELEC: emission factor of electric mix
In Spain: 0.248 kg CO2/kWh [64]/in Romania: 0.264 kg CO2 [65]
UCFELEC: unit impact of the electric mix (tCO2eq)
Table 4. Data for calculating the impact of transport.
Table 4. Data for calculating the impact of transport.
ConcreteOther Materials
Truck load capacity (t)242
Distance to factory (km)20250
Average diesel consumption (l/100 km)2626
Diesel emissions (tCO2/l)2.62 × 10−32.62 × 10−3
Diesel consumed water (m3/l)1.261.26
Diesel embodied energy (MJ/l)57.7057.70
Electricity embodied energy (MJ/kWh)3.603.60
Table 5. Statistical data of new buildings in Romania between 2014 and 2018.
Table 5. Statistical data of new buildings in Romania between 2014 and 2018.
YearNumber of Permits for Residential Buildings Administrative Buildings OthersTotal
Number of Permits
ApartmentsTotal Floor Area, Residential (m2)
Table 6. General information of selected buildings in OERCO2 tool.
Table 6. General information of selected buildings in OERCO2 tool.
General informationNumber of FloorsNumber of Underground FloorsUse of Ground Floor
FoundationStructureRoof TypeFloor Area (m2)
Isolated Footings/Reinforced Slab/PilesMetal/Reinforced ConcreteFlat/Sloping72
Table 7. Selected data for the case studies from OERCO2 tool.
Table 7. Selected data for the case studies from OERCO2 tool.
MS and CS Buildings (Romania and Spain)
General informationEarthworks
ExcavationsFillingsEarth Transport
ExcavatorMechanic meansMechanic means
Sewer System
ManholesSewage pipesDownpipes and roof sinks
In situPVCReinforced PVC
FormworkFloor slabsFlat roofSloping roof
MetallicWaffle slab with recoverable caissons/One-way slab with concrete vaults Passable and ventilated/Passable and invertedCeramic tiles
One-foot brick wall with chamber/0.5-foot brick wall with chamberSingle layer mortarDouble hollow brick 9 cm
InstallationsAir-Conditioning System
Air-ConditioningTerminal unitsDuctsPipes
RadiatorsBoilerPipe insulation
Classic steelGasoilApplies
Water supply and ventilation
Cold-water pipesHot-water pipesSinksVentilation
Domestic Hot water
HeaterSolar panels
GasApplies/Does not apply
FinishesInsulationVertical finishing
Polyurethane/Rock woolRendering
CeramicContinuous laminated gypsum
Lacquered aluminum casement with thermal bridge breakThermal-acoustic 6 + 12 + 6Wood
Protection elements
BlindsProtection gridsRailings
Anodized aluminumHot-rolled steelSteel
Table 8. Classification and codification of projects according to the OERCO2 tool, MS is metallic structure and CS is reinforced concrete structure.
Table 8. Classification and codification of projects according to the OERCO2 tool, MS is metallic structure and CS is reinforced concrete structure.
FoundationNumber Underground FloorsGround FloorRoof TypeMS
REINFORCED SLAB1 DwellingFlatM090C090
REINFORCED SLAB2DwellingFlatM147C147
Table 9. Analysis of CF percentage by project chapters in Spain.
Table 9. Analysis of CF percentage by project chapters in Spain.
Project of Spain
% CF TOTAL89.31%89.15%89.41%88.78%87.61%89.97%89.36%
Table 10. Analysis of CF percentage by project chapters in Romania.
Table 10. Analysis of CF percentage by project chapters in Romania.
CF (%) of Romania Project Chapters
% CF TOTAL90.97%91.61%90.92%90.46%89.48%91.33%90.89%
Table 11. Economic and environmental comparison of MS and CS, according to type of foundation.
Table 11. Economic and environmental comparison of MS and CS, according to type of foundation.
FoundationConcrete Structure (CS)Metallic Structure (MS)
Economic EnvironmentalEconomic Environmental
ACCD (Spain)European CFACCD (Spain)European CF
Isolated footings647.64861.220.571777.111033.390.740
Reinforced slab639.05849.800.556754.801003.720.720
Back to TopTop