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    Improving Efficiency of Normative Interventions by Characteristic-Based Selection of Households: An Agent-Based Approach

    Source: Journal of Computing in Civil Engineering:;2020:;Volume ( 034 ):;issue: 001
    Author:
    Mohammad Zarei
    ,
    Mojtaba Maghrebi
    DOI: 10.1061/(ASCE)CP.1943-5487.0000860
    Publisher: ASCE
    Abstract: Energy demand is increasing globally, and the building sector accounts for more than a third of energy use in some countries. Thus, by means of normative interventions (NIs), the authorities have started investing in improving the energy behavior of households as an important factor affecting the energy consumption of buildings. In this regard, ecofeedback programs and the appointment of environmental champions (ECs) in the target community are considered practical solutions. This paper presents a novel approach, characteristic-based selection of households (CBSH), to improve the short-term and long-term effects of such NIs by focusing on characteristics of the energy behavior of households. In the simulation model, the household’s energy consumption behavior and social network can be altered to study the effectiveness of different scenarios for a selection of households as ECs or ecofeedback attendants. According to the simulation results, the outcome of NIs can be promoted by using CBSH to select ecofeedback participants as well as integrating ECs with ecofeedback programs.
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      Improving Efficiency of Normative Interventions by Characteristic-Based Selection of Households: An Agent-Based Approach

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4265234
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    contributor authorMohammad Zarei
    contributor authorMojtaba Maghrebi
    date accessioned2022-01-30T19:24:15Z
    date available2022-01-30T19:24:15Z
    date issued2020
    identifier other%28ASCE%29CP.1943-5487.0000860.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4265234
    description abstractEnergy demand is increasing globally, and the building sector accounts for more than a third of energy use in some countries. Thus, by means of normative interventions (NIs), the authorities have started investing in improving the energy behavior of households as an important factor affecting the energy consumption of buildings. In this regard, ecofeedback programs and the appointment of environmental champions (ECs) in the target community are considered practical solutions. This paper presents a novel approach, characteristic-based selection of households (CBSH), to improve the short-term and long-term effects of such NIs by focusing on characteristics of the energy behavior of households. In the simulation model, the household’s energy consumption behavior and social network can be altered to study the effectiveness of different scenarios for a selection of households as ECs or ecofeedback attendants. According to the simulation results, the outcome of NIs can be promoted by using CBSH to select ecofeedback participants as well as integrating ECs with ecofeedback programs.
    publisherASCE
    titleImproving Efficiency of Normative Interventions by Characteristic-Based Selection of Households: An Agent-Based Approach
    typeJournal Paper
    journal volume34
    journal issue1
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)CP.1943-5487.0000860
    page04019042
    treeJournal of Computing in Civil Engineering:;2020:;Volume ( 034 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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