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Sustainable Energy Systems: Efficiency and Optimization

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "C: Energy Economics and Policy".

Deadline for manuscript submissions: closed (31 October 2020) | Viewed by 57843

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Special Issue Editors


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Guest Editor
Sustainable Energy Systems, School of Engineering and Computer Science, Wellington Faculty of Engineering, Victoria University of Wellington, Wellington 6140, New Zealand
Interests: sustainable technology management; sustainable energy systems; integration of renewable energy resources, power and energy systems engineering, as well as energy Generation, conversion, and storage engineering
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Co-Guest Editor
Department of Management Science and Technology, Graduate School of Engineering, Tohoku University, Sendai 980-8579, Japan
Interests: integrated design and analysis for sustainable energy systems
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Special Issue Information

Dear Colleagues,

New, alternative energy technologies are rapidly becoming affordable, and it is expected that these will be immensely disruptive to our traditional mode of centralised energy generation, transmission, and distribution. Additionally, the severe climate (and other) impacts of many traditional energy generation and utilisation techniques are widely accepted. As stated in the World Energy Outlook of the International Energy Agency (IEA): “the global energy scene is in a state of flux, thrown off balance by falling costs for a range of technologies, led by wind and solar…”. Furthermore, the IEA states that it “…expects renewable electricity generation to increase by a further two-fifths by 2021. However, renewable heat and transport are lagging behind, despite good potential…”. For these changes or transitions to be just and sustainable, systemic analyses are required, with an emphasis on optimizing the energy sector to be better integrated with the other sectors of the economy, thereby ensuring the efficiency of future energy value chains. Such systemic analyses utilise concepts, methods and tools such as system dynamics, urban metabolism, industrial ecology, and life cycle analyses, to inform policy- and decision-making.

This Special Issue is therefore focused on how the concepts, methods and tools of systemic analyses have been utilised in various contexts to enable a transition to sustainable energy systems, with an emphasis on the efficiency and optimisation of future energy value chains.

Prof. Dr. Alan Brent
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Sustainability
  • Macro-level
  • Systemic analyses
  • Energy value chains
  • Efficiency
  • Optimization

Published Papers (8 papers)

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Research

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29 pages, 7503 KiB  
Article
Community Resilience-Oriented Optimal Micro-Grid Capacity Expansion Planning: The Case of Totarabank Eco-Village, New Zealand
by Soheil Mohseni, Alan C. Brent and Daniel Burmester
Energies 2020, 13(15), 3970; https://doi.org/10.3390/en13153970 - 02 Aug 2020
Cited by 18 | Viewed by 4017
Abstract
In the grid-tied micro-grid context, energy resilience can be defined as the time period that a local energy system can supply the critical loads during an unplanned upstream grid outage. While the role of renewable-based micro-grids in enhancing communities’ energy resilience is well-appreciated, [...] Read more.
In the grid-tied micro-grid context, energy resilience can be defined as the time period that a local energy system can supply the critical loads during an unplanned upstream grid outage. While the role of renewable-based micro-grids in enhancing communities’ energy resilience is well-appreciated, the academic literature on the techno-economic optimisation of community-scale micro-grids lacks a quantitative decision support analysis concerning the inclusion of a minimum resilience constraint in the optimisation process. Utilising a specifically-developed, time-based resilience capacity characterisation method to quantify the sustainability of micro-grids in the face of different levels of extended grid power outages, this paper facilitates stakeholder decision-making on the trade-off between the whole-life cost of a community micro-grid system and its degree of resilience. Furthermore, this paper focuses on energy infrastructure expansion planning, aiming to analyse the importance of micro-grid reinforcement to meet new sources of electricity demand—particularly, transport electrification—in addition to the business-as-usual demand growth. Using quantitative case study evidence from the Totarabank Subdivision in New Zealand, the paper concludes that at the current feed-in-tariff rate (NZ$0.08/kWh), the life cycle profitability of resilience-oriented community micro-grid capacity reinforcement is guaranteed within a New Zealand context, though constrained by capital requirements. Full article
(This article belongs to the Special Issue Sustainable Energy Systems: Efficiency and Optimization)
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16 pages, 442 KiB  
Article
The International Energy Security Risk Index in Sustainable Energy and Economy Transition Decision Making—A Reliability Analysis
by Iztok Podbregar, Goran Šimić, Mirjana Radovanović, Sanja Filipović, Damjan Maletič and Polona Šprajc
Energies 2020, 13(14), 3691; https://doi.org/10.3390/en13143691 - 17 Jul 2020
Cited by 13 | Viewed by 2517
Abstract
The world economy and society are in a complex process of transition characterized by a high degree of uncertainty. Therefore, further development and management of the transition will largely depend on the quality of the decisions made and, accordingly, on the decision-making process [...] Read more.
The world economy and society are in a complex process of transition characterized by a high degree of uncertainty. Therefore, further development and management of the transition will largely depend on the quality of the decisions made and, accordingly, on the decision-making process itself. The main goal of this study is to analyze the reliability of International Energy Security Risk Index as a tool to support the process of energy and economy transition decision making, as closely related and highly interdependent phenomena. The index is composed of 29 aggregated variables (grouped into eight categories), and the research is conducted on a research sample of 25 countries over a period of 36 years. The reliability assessment is performed by using Multiple Regression Analysis. Multicollinearity test, plus Multicollinearity test with Variance Inflation Factors, is used for methodological verification. The test results indicate a high degree of unreliability of the Index, as is concluded based on the observed errors in its methodological settings. These errors primarily relate to a high degree of multicollinearity in all 29 variables, whereby independent variables lose their independence and thus jeopardize reliability of the total Index. Out of the eight groups of variables, the fuel imports group is the only one that does not show big methodological errors. The paper presents a recommendation for the improvement of the observed Index (review of the role of individual variables found to be particularly methodologically indicative), as well as a recommendation for different distribution of weighting coefficients. Full article
(This article belongs to the Special Issue Sustainable Energy Systems: Efficiency and Optimization)
10 pages, 3369 KiB  
Article
Optimising the Concentrating Solar Power Potential in South Africa through an Improved GIS Analysis
by Dries. Frank Duvenhage, Alan C. Brent, William H.L. Stafford and Dean Van Den Heever
Energies 2020, 13(12), 3258; https://doi.org/10.3390/en13123258 - 23 Jun 2020
Cited by 7 | Viewed by 2702
Abstract
Renewable Energy Technologies are rapidly gaining uptake in South Africa, already having more than 3900 MW operational wind, solar PV, Concentrating Solar Power (CSP) and biogas capacity. CSP has the potential to become a leading Renewable Energy Technology, as it is the only [...] Read more.
Renewable Energy Technologies are rapidly gaining uptake in South Africa, already having more than 3900 MW operational wind, solar PV, Concentrating Solar Power (CSP) and biogas capacity. CSP has the potential to become a leading Renewable Energy Technology, as it is the only one inherently equipped with the facility for large-scale thermal energy storage for increased dispatchability. There are many studies that aim to determine the potential for CSP development in certain regions or countries. South Africa has a high solar irradiation resource by global standards, but few studies have been carried out to determine the potential for CSP. One such study was conducted in 2009, prior to any CSP plants having been built in South Africa. As part of a broader study to determine the impact of CSP on South Africa’s water resources, a geospatial approach was used to optimise this potential based on technological changes and improved spatial data. A tiered approach, using a comprehensive set of criteria to exclude unsuitable areas, was used to allow for the identification of suitable areas, as well as the modelling of electricity generation potential. It was found that there is more than 104 billion m2 of suitable area, with a total theoretical potential of more than 11,000 TWh electricity generating capacity. Full article
(This article belongs to the Special Issue Sustainable Energy Systems: Efficiency and Optimization)
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28 pages, 1108 KiB  
Article
Optimal Municipal Energy System Design and Operation Using Cumulative Exergy Consumption Minimisation
by Lukas Kriechbaum and Thomas Kienberger
Energies 2020, 13(1), 182; https://doi.org/10.3390/en13010182 - 01 Jan 2020
Cited by 4 | Viewed by 2326
Abstract
In developed countries like Austria the renewable energy potential might outpace the demand. This requires primary energy efficiency measures as well as an energy system design that enables the integration of variable renewable energy sources. Municipal energy systems, which supply customers with heat [...] Read more.
In developed countries like Austria the renewable energy potential might outpace the demand. This requires primary energy efficiency measures as well as an energy system design that enables the integration of variable renewable energy sources. Municipal energy systems, which supply customers with heat and electricity, will play an important role in this task. The cumulative exergy consumption methodology considers resource consumption from the raw material to the final product. It includes the exergetic expenses for imported energy as well as for building the energy infrastructure. In this paper, we determine the exergy optimal energy system design of an exemplary municipal energy system by using cumulative exergy consumption minimisation. The results of a case study show that well a linked electricity and heat system using heat pumps, combined heat power plants and battery and thermal storages is necessary. This enables an efficient supply and also provides the necessary flexibilities for integrating variable renewable energy sources. Full article
(This article belongs to the Special Issue Sustainable Energy Systems: Efficiency and Optimization)
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19 pages, 3987 KiB  
Article
Conceptualizing Household Energy Metabolism: A Methodological Contribution
by Adél Strydom, Josephine Kaviti Musango and Paul K. Currie
Energies 2019, 12(21), 4125; https://doi.org/10.3390/en12214125 - 29 Oct 2019
Cited by 7 | Viewed by 3282
Abstract
Urban metabolism assessments enable the quantification of resource flows, which is useful for finding intervention points for sustainability. At a household level, energy metabolism assessments can reveal intervention points to reshape household energy consumption and inform decision-makers about a more sustainable urban energy [...] Read more.
Urban metabolism assessments enable the quantification of resource flows, which is useful for finding intervention points for sustainability. At a household level, energy metabolism assessments can reveal intervention points to reshape household energy consumption and inform decision-makers about a more sustainable urban energy system. However, a gap in the current urban metabolism research reveals that existing household energy consumption studies focus on outflows in the form of greenhouse gas emissions, and have been mostly undertaken at the city or national level. To address this gap, this study developed a method to assess household energy metabolism focusing on direct energy inflows in the form of carriers, and through-flows in the form of services, to identify intervention points for sustainability. Then, this method was applied to assess the energy metabolism of different households in Cape Town, South Africa, as categorized by income groups. The study argued that the developed method is useful for undertaking bottom–up household energy metabolic assessments in both formal and informal city settings in which more than one energy carrier is used. In cities where only national or city-level data exists, it provides a method for understanding how different households consume different energy carriers differently. Full article
(This article belongs to the Special Issue Sustainable Energy Systems: Efficiency and Optimization)
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14 pages, 3013 KiB  
Article
Study on the Suitability of Passive Energy in Public Institutions in China
by Shui Yu, He Liu, Lu Bai and Fuhong Han
Energies 2019, 12(12), 2446; https://doi.org/10.3390/en12122446 - 25 Jun 2019
Cited by 13 | Viewed by 2848
Abstract
To solve the problem of the low utilization ratio of clean renewable energy in public institutions, the basic information of energy utilization in public institutions was investigated. The suitability of passive energy use in public institutions was studied. According to the basic information [...] Read more.
To solve the problem of the low utilization ratio of clean renewable energy in public institutions, the basic information of energy utilization in public institutions was investigated. The suitability of passive energy use in public institutions was studied. According to the basic information and evaluation index of passive energy utilization in public institutions, the suitability of different types of passive energy (solar and geothermal energy) was studied by combining the resource conditions in different climate zones and the characteristics of energy utilization in typical public institutions, and the suitability distribution map was formed. In terms of research methods, the CRITIC (Criteria Importance Though Intercrieria Correlation) method based on the characteristics of objective data, and the natural breakpoint method based on the structure of objective data, were selected. Based on the climatic zoning of the buildings, this study conducted a suitability zoning. Each climatic region of buildings was divided into three sub-regions, which were the passive energy suitability regions of public institutions in the climatic region of the buildings. Finally, all of the regions with the same suitability were partitioned in order to obtain the final results. The distribution map of suitability for the different types of public institution buildings in the different regions is creatively established, which provides the basis for the selection of passive energy technology application schemes for public institution buildings in different regions, and provides macro guidance for energy planners and scheme designers. Full article
(This article belongs to the Special Issue Sustainable Energy Systems: Efficiency and Optimization)
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24 pages, 7095 KiB  
Article
Optimal Operational Strategy for Power Producers in Korea Considering Renewable Portfolio Standards and Emissions Trading Schemes
by Dongmin Son, Joonrak Kim and Bongju Jeong
Energies 2019, 12(9), 1667; https://doi.org/10.3390/en12091667 - 01 May 2019
Cited by 11 | Viewed by 3327
Abstract
Globally, many countries are experiencing economic growth while concurrently increasing their energy consumption. Several have begun to consider a low-carbon energy mix to mitigate the environmental impacts caused by increased fossil fuel consumption. In terms of maximizing profits, however, power producers are not [...] Read more.
Globally, many countries are experiencing economic growth while concurrently increasing their energy consumption. Several have begun to consider a low-carbon energy mix to mitigate the environmental impacts caused by increased fossil fuel consumption. In terms of maximizing profits, however, power producers are not sufficiently motivated to expand capacity due to high costs. Thus, the Korean government initiated the Renewable Portfolio Standard (RPS), an obligation to generate a certain proportion of a producer’s total generation using renewable energy for power producers with capacities of 500 MW or more, and the Emissions Trading Scheme (ETS), designed to attain a carbon emissions reduction goal. We propose a mathematical model to derive the optimal operational strategy for maximizing power producer profits with a capacity expansion plan that meets both regulations. As such, the main purpose of this study was to obtain the optimal operational strategy for each obligatory power producer. To that end, we defined a 2 × 2 matrix to classify their types and to conduct scenario-based analyses to assess the impact of major factor changes on solutions for each type of power producer. Finally, for the power generation industry to operate in a sustainable and eco-friendly manner, we extracted policy implications that the Korean government could consider for each type of power producer. Full article
(This article belongs to the Special Issue Sustainable Energy Systems: Efficiency and Optimization)
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Review

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27 pages, 1267 KiB  
Review
Internet of Things (IoT) and the Energy Sector
by Naser Hossein Motlagh, Mahsa Mohammadrezaei, Julian Hunt and Behnam Zakeri
Energies 2020, 13(2), 494; https://doi.org/10.3390/en13020494 - 19 Jan 2020
Cited by 423 | Viewed by 35716
Abstract
Integration of renewable energy and optimization of energy use are key enablers of sustainable energy transitions and mitigating climate change. Modern technologies such the Internet of Things (IoT) offer a wide number of applications in the energy sector, i.e, in energy supply, transmission [...] Read more.
Integration of renewable energy and optimization of energy use are key enablers of sustainable energy transitions and mitigating climate change. Modern technologies such the Internet of Things (IoT) offer a wide number of applications in the energy sector, i.e, in energy supply, transmission and distribution, and demand. IoT can be employed for improving energy efficiency, increasing the share of renewable energy, and reducing environmental impacts of the energy use. This paper reviews the existing literature on the application of IoT in in energy systems, in general, and in the context of smart grids particularly. Furthermore, we discuss enabling technologies of IoT, including cloud computing and different platforms for data analysis. Furthermore, we review challenges of deploying IoT in the energy sector, including privacy and security, with some solutions to these challenges such as blockchain technology. This survey provides energy policy-makers, energy economists, and managers with an overview of the role of IoT in optimization of energy systems. Full article
(This article belongs to the Special Issue Sustainable Energy Systems: Efficiency and Optimization)
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