Integrating willingness analysis into investment prediction model for large scale building energy saving retrofit: Using fuzzy multiple attribute decision making method with Monte Carlo simulation

Zheng, Donglin; Yu, Liang; Wang, Lizhen; Tao, Jiangang

doi:10.1016/j.scs.2018.10.008

Cited by 48 publications

(20 citation statements)

References 41 publications

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“…Finally, a practical case study concerning waste incineration plants location problem is designed to validate the proposed algorithms and some comparative studies are also designed to verify the applicability. In our future research, the proposed methods and algorithm will be needful and meaningful for other real decision making problems [52][53][54][55][56][57][58][59][60] and the developed approaches can also be extended to other fuzzy [48,61,62] and uncertain information [63][64][65][66][67][68][69][70][71][72][73].…”

Section: Resultsmentioning

confidence: 99%

GRA Method for Probabilistic Linguistic Multiple Attribute Group Decision Making with Incomplete Weight Information and Its Application to Waste Incineration Plants Location Problem

Lei¹,

Wei²,

Lu³

et al. 2019

IJCIS

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Multiple attribute group decision making (MAGDM) Probabilistic linguistic term sets (PLTSs) GRA method Incomplete weight information Waste incineration plants A B S T R A C TIn this essay, we investigate the probabilistic linguistic multiple attribute group decision making (PL-MAGDM) with incomplete weight information. In this method, the linguistic representation developed recently is converted into probabilistic linguistic information. For deriving the weight information of the attribute, an optimization model is built on the basis of the fundamental idea of grey relational analysis (GRA), by which the attribute weights can be decided. Then, the optimal alternative is chosen through calculating largest relative relational degree from the probabilistic linguistic positive ideal solution (PLPIS) which considers both the largest grey relational coefficient (GRC) from the PLPIS and the smallest GRC form probabilistic linguistic negative ideal solution (PLNIS). In the end, a case study concerning waste incineration plants location problem is given to demonstrate the merits of the developed methods.

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Section: Resultsmentioning

confidence: 99%

GRA Method for Probabilistic Linguistic Multiple Attribute Group Decision Making with Incomplete Weight Information and Its Application to Waste Incineration Plants Location Problem

Lei¹,

Wei²,

Lu³

et al. 2019

IJCIS

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“…Sensors and control systems have been deemed resourceful for enhancing building energy performance [69,70]. They are classified under energy conservation management and include temperature and motion sensors.…”

Section: Sensors and Maintenance Measuresmentioning

confidence: 99%

“…The use of energy regeneration systems can improve the energy efficiency of equipment by about 20-30% [69]. These systems include variable-frequency and variable-voltage drive systems.…”

Section: Energy Regeneration Systems For Lifts and Equipmentmentioning

confidence: 99%

“…This assessment will provide decision-makers with some confidence level in deciding suitable retrofit measures. Notable risk assessment methods include the Monte Carlo simulation, discount rate analysis [70], expected value analysis [69] and sensitivity analysis using support vector regression (SVR) [62]. Associated with urban sprawl is an increase in population density, as witnessed in cities like Shanghai.…”

Section: Risk Assessmentmentioning

confidence: 99%

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Building Energy Retrofit Measures in Hot-Summer–Cold-Winter Climates: A Case Study in Shanghai

et al. 2019

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Building retrofit measures provide a significant means of mitigating the effect of climate change on buildings by enhancing building energy performance at a beneficial cost-effectiveness. An insight into the applicable building retrofit measures within a climate zone will guide the optimisation framework to attaining sustainability in architecture and the built environment. This article presents a brief overview of recent studies on retrofit measures and its application on a variety of buildings in hot-summer–cold-winter climates, with emphasis on Shanghai. Findings show that the major retrofit measures include improvement in the building envelope, heating, ventilation and cooling (HVAC) and lighting, supported by photovoltaic (PV) systems, accordingly. Furthermore, the study identifies key elements and plausible challenges for the evaluation of building retrofit measures in this region. In this regard, financial barriers and lack of standards and regulatory support are the main challenges identified. These insights provide a systematic approach to guide building researchers, practitioners and decision-makers in the design and development of existing and new retrofit measures for the future of rapidly growing cities with a broad climate variation scope.

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“…In some studies, the candidate retrofit plans were simply ranked based on the energy or cost saving (Ashrafian et al, 2016;Becchio et al, 2016;Fregonara et al, 2017;Hosseinian et al, 2017). Other case studies used weighting methods to find the most applicable retrofit plan, where Analytic Hierarchy Process (AHP) is one popular tool (Amiri et al, 2018;McArthur et al, 2016;Rocchi et al, 2018;Si et al, 2018;Si et al, 2016;Zheng et al, 2019). Finally, a few case studies had multiple choices in every retrofit measure; these case studies used optimization algorithms to find the best EEM combination for the final plan (Mauro et al, 2017;Senel Solmaz et al, 2018).…”

Section: Case Study Reviewmentioning

confidence: 99%

A Proposed Lean Decision-Making Process for Building Energy Retrofits

Ding¹,

Parish²

2019

Proc. 27th Annual Conference of the International Group for Lean Construction (IGLC)

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Buildings are one of the largest contributors of greenhouse gas emissions and, in the United States, they are the largest energy users. To combat these emissions, policy makers suggest retrofitting older buildings to achieve better energy performance. (The authors define retrofit as any changes to an existing building that improve the building's ability to perform or extend the building's life.) Despite consensus that buildings should be retrofit, building owners may struggle to identify how to retrofit their building. This paper addresses this gap by providing a proposed lean process, rooted in Choosing by Advantages (CBA), for selecting among potential energy retrofit options.In this paper, the authors present the energy retrofit decision-making process recommended by the U.S. Department of Energy and compare it to those used in practice on case studies completed in the last five years. The authors identified two shortcomings in the implemented processes: first, the decision-making processes only consider the designers' perspective on energy and cost savings with little involvement from other stakeholders, and thus, they may ignore the needs, desires, and opinions of others with non-design backgrounds; second, these processes consider more design alternatives than may be realistic for a building owner given budget and schedule constraints.To make the process leaner, the authors propose a new energy retrofit decisionmaking process, rooted in CBA, that addresses the previously-identified shortcomings. This process involves more stakeholders in the decision-making process. Moreover, this process helps decision-makers focus on the most promising design alternatives, thereby supporting better use of time and increased likelihood of a successful retrofit.

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Integrating willingness analysis into investment prediction model for large scale building energy saving retrofit: Using fuzzy multiple attribute decision making method with Monte Carlo simulation

Cited by 48 publications

References 41 publications

GRA Method for Probabilistic Linguistic Multiple Attribute Group Decision Making with Incomplete Weight Information and Its Application to Waste Incineration Plants Location Problem

GRA Method for Probabilistic Linguistic Multiple Attribute Group Decision Making with Incomplete Weight Information and Its Application to Waste Incineration Plants Location Problem

Building Energy Retrofit Measures in Hot-Summer–Cold-Winter Climates: A Case Study in Shanghai

A Proposed Lean Decision-Making Process for Building Energy Retrofits

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