Investment decision-making optimization of energy efficiency retrofit measures in multiple buildings under financing budgetary restraint

He, Yong; Liao, Nuo; Bi, Jiajing; Guo, Liwei

doi:10.1016/j.jclepro.2019.01.119

Cited by 70 publications

(32 citation statements)

References 39 publications

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“…Finally, a real experimental case for evaluating the ecological value of forest ecological tourism demonstration area was used to show the developed approach. In the subsequent studies, the extension and application of IVIFNs need to be studied in many other uncertain environments [78][79][80][81][82][83][84] and other applications [85][86][87][88][89][90].…”

Section: Discussionmentioning

confidence: 99%

Some Interval-Valued Intuitionistic Fuzzy Dombi Heronian Mean Operators and their Application for Evaluating the Ecological Value of Forest Ecological Tourism Demonstration Areas

Wei

et al. 2020

IJERPH

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With China’s sustained economic development and constant increase in national income, Chinese nationals’ tourism consumption rate increases. As a major Chinese economic development engine, the domestic tourism industry has entered a transition period operation pattern featured by diversified products. Among them, as a new hot spot of the tourism industry in China, ecological tourism has enjoyed rapid development, with great potential. Thus, the ecological value evaluation of forest ecological tourism demonstration areas is very important to the domestic tourism industry. In this paper, we propose some Dombi Heronian mean operators with interval-valued intuitionistic fuzzy numbers (IVIFNs). Then, two MADM (multiple attribute decision making) methods are proposed based on IVIFWDHM (interval-valued intuitionistic fuzzy weighted Dombi Heronian mean) and IVIFWDGHM (interval-valued intuitionistic weighted Dombi geometric Heronian mean) operators. Finally, we gave an experimental case for evaluating the ecological value of forest ecological tourism demonstration area to show the proposed decision methods.

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Section: Discussionmentioning

confidence: 99%

Some Interval-Valued Intuitionistic Fuzzy Dombi Heronian Mean Operators and their Application for Evaluating the Ecological Value of Forest Ecological Tourism Demonstration Areas

Wei

et al. 2020

IJERPH

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“…In many previous works on retrofit optimization, demand-side or supply-side interventions are implemented using binary decision variables [23][24][25]. As a matter of fact, this formulation faithfully transcribes whether or not the decision-maker is adopting a retrofit solution.…”

Section: Decision Variablesmentioning

confidence: 99%

“…Another option is to reduce the complexity of the models to make them compatible with urban usage in terms of data and time requirements. He et al [23] uses a simplified model to optimize building-envelope retrofits of 27 non-governmental organization (NGO) buildings, considering economic and environmental objectives. The usage of steady-state energy demand models is also identified in two multi-objective optimization approaches presented by Asadi et al [24] and Fan and Xia [25].…”

Section: Introductionmentioning

confidence: 99%

Joint optimization of building-envelope and heating-system retrofits at territory scale to enhance decision-aiding

et al. 2020

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Reduction of energy consumption in the building sector has been identified as a major instrument to tackle global climate change and improve sustainability. In this paper, we propose a methodology to address a retrofit planning problem at a community level, with a building resolution. The resulting tool helps local decision-makers identify pertinent actions to improve the environmental behavior of their territories. Two building retrofit levers are considered, namely envelope insulation and heating systems replacement. Retrofit planning is treated here as a single-objective optimization problem aimed at reducing the total costs of retrofit actions by minimizing their net present value. A multidimensional multiple-choice knapsack problem formulation is proposed through the adoption of adequate decision variables. It suitably balances the complexity induced by the large number of potential retrofit action combinations and the number of variables in the problem and permits a linear formulation. An optimization of virtual building stocks is performed to highlight the developed model's capacity to tackle large problems (5,000 buildings) in a few minutes. Finally, three analyses finally are led on a real case-study territory, featuring both appropriate retrofit solutions and building stock information. Long-term evaluation of retrofit strategies over the shortterm results in an additional 10% reduction of energy consumption and greenhouse gases emissions and encourages thermal insulation. When targeting a 40% reduction in energy demand, retrofit costs ranging from 20 to 800e/m 2 are observed. Finally, the developed method was used to draw a CO 2 abatement cost curve at territory level. A 70% reduction of emissions can be achieved with costs under 50 e/tCO 2 e.

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“…This shows that space cooling is one of the leading sources of energy consumption, and it is predicted that its demand will reach 80% by the year 2030. One of the feasible approaches to improve energy efficiency is to optimize electricity utilization [6,7]. Recent studies pay more attention to the development of an air conditioning system that requires lower operational energy and has a minimal impact on the external environment such as a thermoelectric cooling system [8].…”

Section: Introductionmentioning

confidence: 99%

An IoT-Based Thermoelectric Air Management Framework for Smart Building Applications: A Case Study for Tropical Climate

et al. 2020

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This study investigates the performance of the thermoelectric air conditioning (TE-AC) system smartly controlled by the Internet of Things (IoT)-based configuration for real tropical climatic application. Air cooling management was done through thermoelectric coolers, and an Arduino microcontroller with various sensors such as a temperature sensor, simple RF modules, and actuators was used to control the indoor climatic conditions based on outdoor conditions. The result shows that when the input power supply to the IoT-based TE-AC system is increased, the cooling capacity of the framework is also enhanced. Significant power and carbon emission reduction was observed for the IoT-based TE-AC system as compared to the TE-AC system without IoT. The IoT-incorporated system also ensures better microclimatic temperature control. Additionally, the system cooling capacity improves by 14.0%, and the coefficient of performance is increased by 46.3%. Thus, this study provides a smart solution to the two major energy harvesting issues of traditional air conditioners-an increase in energy efficiency by employing a TE-AC system and a further improvement in efficiency by using an IoT-based thermal management system.

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Investment decision-making optimization of energy efficiency retrofit measures in multiple buildings under financing budgetary restraint

Cited by 70 publications

References 39 publications

Some Interval-Valued Intuitionistic Fuzzy Dombi Heronian Mean Operators and their Application for Evaluating the Ecological Value of Forest Ecological Tourism Demonstration Areas

Some Interval-Valued Intuitionistic Fuzzy Dombi Heronian Mean Operators and their Application for Evaluating the Ecological Value of Forest Ecological Tourism Demonstration Areas

Joint optimization of building-envelope and heating-system retrofits at territory scale to enhance decision-aiding

An IoT-Based Thermoelectric Air Management Framework for Smart Building Applications: A Case Study for Tropical Climate

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