Environmental and economic implications of energy efficiency in new residential buildings: A multi-criteria selection approach

D’Agostino, Delia; Parker, Danny; Melià, Paco

doi:10.1016/j.esr.2019.100412

Cited by 49 publications

(27 citation statements)

References 73 publications

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“…In other sectors beyond these, MCDM is the only dominant decision-making method identified including in Energy [6,52], Automotive [53,54], Manufacturing [55,56], PSS [57,58] and Supply Chain [59]. In all these latter sectors, it perhaps suggests that the emergent appreciation of the complex dynamics and the need for tools that cope with it are the drivers towards this trend.…”

Section: Descriptive Analysismentioning

confidence: 99%

“…This is even though it is at the FED when vital decision making is taking place that can affect a project's lifecycle performance during this time [1]. Moreover, decision-makers are continually making subjective decisions influenced by their social, economic, environmental, political or technological contexts among others [5,6]. The result is waste and dis-benefits resulting from inefficient and inadequate decision making that ultimately affects requirements management and project processes.…”

Section: Introductionmentioning

confidence: 99%

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A Utilitarian Decision—Making Approach for Front End Design—A Systematic Literature Review

2020

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The complexity of construction processes often means interaction between various stakeholders, activities and tasks in order to deliver the expected outcomes. The intensity and dynamics of front-end design (FED) mean decision techniques and methods are important in supporting projects benefits delivery more importantly those based on utility of decision making. This paper explores a new utilitarian decision-making approach based on a systematic literature review of FED decision making. It presents the state of the art in design decision making concepts and analysis of tools over the last 10 years (2009–2019). From a total of 111 peer-reviewed journal papers, fifteen decision-making techniques are identified as dominant in design decision making, broadly grouped in four major categories as explanatory/rational, Multi Criteria Decision Making techniques (MCDM), Hybrid and Visual methods. The review finds that the most applied of the MCDM is Quality Function Deployment (QFD); while among the rational/explanatory techniques is set-based design (SBD). While there is limited application of Multi Attribute Utility Theory (MAUT) in decision making, the paper finds that the robust consistency and structured approach better captures the intricate dynamics of FED; including modelling of the subjectivity, interdependences and uncertainty in design discourse.

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Section: Descriptive Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Utilitarian Decision—Making Approach for Front End Design—A Systematic Literature Review

2020

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“…With the changes in future terminal energy consumption of different production sectors projected by the ARIMA regression, a dynamic multi-sectoral CGE model is used to simulate and analyze the economic and environmental impacts of clean energy substitution. For examining the economic and environmental effects of different policies, a class of multi-criteria evaluation models were often adopted [43][44][45], yet few applied a CHINAGEM-alike model to fathom the economic and environmental effects caused by clean energy substitution for polluting fossil-fuels.…”

Section: Cge Modelmentioning

confidence: 99%

Impacts of Clean Energy Substitution for Polluting Fossil-Fuels in Terminal Energy Consumption on the Economy and Environment in China

Chen

et al. 2019

Sustainability

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China has initiated various dedicated policies on clean energy substitution for polluting fossil-fuels since the early 2010s to alleviate severe carbon emissions and environmental pollution and accelerate clean energy transformation. Using the autoregressive integrated moving average (ARIMA) regression, we project the potentials of substituting coal and oil with clean energy for different production sectors in China toward the year 2030. Based on the projections, a dynamic multi-sectoral computable general equilibrium model, CHINAGEM, is employed to examine: the impacts of future clean energy substitution on China’s energy production, outputs of non-energy sectors, macro-economy, and CO2 emissions. First, we found that most production sectors are projected to replace polluting fossil-fuels with clean energy in their terminal energy consumption in 2017–2030. Second, clean energy substitution enables producing green co-benefits that would enable improvements in energy production structure, reductions in national CO2 emissions, and better real GDP and employment. Third, technological progress in non-fossil-fuel electricity could further benefit China’s clean and low-carbon energy transformation, accelerating the reduction in CO2 emissions and clean energy substitution. Furthermore, the most beneficiary are energy-intensive and high carbon-emission sectors owing to the drop in coal and oil prices, while the most negatively affected are the downstream sectors of electricity. Through research, various tentative improvement policies are recommended, including financial support, renewable electricity development, clean energy utilization technology, and clean coal technologies.

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“…This situation becomes clear when solar-based RETs are considered, such as photovoltaic panels and solar thermal collectors, because they consume an energy resource that has zero cost and zero emissions. Nevertheless, it is also interesting to analyze the various methods employed in the literature to determine the average CO 2 emission factors: the most common approach is to consider the electricity power mix of a region or a country, 31,[41][42][43][44][45][46] but Casisi et al 47 adopted the region's main thermoelectric plant, Wang et al 29 considered a coal power plant, and Conci et al 48 employed the average between the measured value in 2015 and the forecast value for 2050. Third, several studies disregard the effect of dynamic climatic conditions, such as hourly and seasonal variations in the ambient temperature and solar radiation, on the performance of solar-based RETs. 32 Second, to the best of the authors' knowledge, timebased electricity CO 2 emission factors have never been taken into account in energy systems optimization studies for buildings applications.…”

Section: Introductionmentioning

confidence: 99%

“…Even though it is true that sufficiently accurate data are difficult to obtain, all consulted energy systems optimization studies consider annual average values for the electricity CO 2 emissions, thus completely ignoring the dynamic interaction between the energy system and the electric grid as well as the potential benefits. Nevertheless, it is also interesting to analyze the various methods employed in the literature to determine the average CO 2 emission factors: the most common approach is to consider the electricity power mix of a region or a country, 31,[41][42][43][44][45][46] but Casisi et al 47 adopted the region's main thermoelectric plant, Wang et al 29 considered a coal power plant, and Conci et al 48 employed the average between the measured value in 2015 and the forecast value for 2050. Third, several studies disregard the effect of dynamic climatic conditions, such as hourly and seasonal variations in the ambient temperature and solar radiation, on the performance of solar-based RETs. A temporal and dynamic approach to the operation of solar-based RETs (eg, solar thermal collectors and photovoltaic panels) is needed to enhance the optimization procedure and the benefits that can be derived from their integration in energy systems.…”

Section: Introductionmentioning

confidence: 99%

A multiperiod multiobjective framework for the synthesis of trigeneration systems in tertiary sector buildings

2019

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This paper develops a multiperiod multiobjective optimization procedure to determine the optimal configuration and operational strategy of a trigeneration system assisted with solar-based technologies and thermal energy storage. The optimization model, formulated as mixed integer linear programming problem, incorporates dynamic operating conditions through time-dependent local climatic data, energy resources, energy demands, electricity prices, and electricity CO 2 emission factors. The methodology is applied to a case study of a residential building in Spain. First, the single-objective solutions are obtained, highlighting their fundamental differences regarding the installation of cogeneration (included in the optimal total annual cost solution) and solar-based technologies (included in the optimal total annual CO 2 emissions solution). Then, the Pareto curve is generated, and a decision-making approach is proposed to select the preferred trade-off solutions based on the marginal cost of CO 2 emissions saved. Additionally, sensitivity analyses are performed to investigate the influence of key parameters concerning energy resources prices, investment costs, and rooftop area. The analyses of the trade-off solutions verify the enormous potential for CO 2 emissions reduction, which can reach 32.3% with only 1.1% higher costs by displacing cogeneration in favor of the heat pump and the electric grid. Besides, with a modest cost increase of 7.3%, photovoltaic panels are incorporated, promoting an even greater CO 2 emissions reduction of 45.2%.

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Environmental and economic implications of energy efficiency in new residential buildings: A multi-criteria selection approach

Cited by 49 publications

References 73 publications

A Utilitarian Decision—Making Approach for Front End Design—A Systematic Literature Review

A Utilitarian Decision—Making Approach for Front End Design—A Systematic Literature Review

Impacts of Clean Energy Substitution for Polluting Fossil-Fuels in Terminal Energy Consumption on the Economy and Environment in China

A multiperiod multiobjective framework for the synthesis of trigeneration systems in tertiary sector buildings

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