An agent-based approach to study the diffusion rate and the effect of policies on joint placement of photovoltaic panels and green roof under climate change uncertainty

Ramshani, Mohammad; Li, Xueping; Khojandi, Anahita; Omitaomu, Olufemi A.

doi:10.1016/j.apenergy.2019.114402

Cited by 25 publications

(25 citation statements)

References 48 publications

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“…This type of ABM is often named "agent-46 based diffusion model" [22,36,56,57]. They aim to analyse adoptions of energy-efficient or renewable energy technology by households, firms and other entities, often due to certain 48 policy interventions [3,51,[58][59][60][61][62][63][64]. Usually, such models' outputs are the number of adopters 49 or adopted units, energy or emissions saved over time (see Table 1).…”

Section: Model Purposes and Outputs 29mentioning

confidence: 99%

“…In some cases, there could 234 be several options are available for agents: [3,61] let agents choose between buying PV via 235 cash payment of a loan, adopting community solar (i.e. renewable energy community) or 236 opting for green electricity; [63] make agents choose the optimal solution for their rooftops 237 -either rooftop PV or green roof; [76] introduces the combinations of technologies as 238 "technology state" of a household (i.e. combination of heating system, insulation level, and 239 appliances).…”

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confidence: 99%

“…To achieve that it has to be first validated on 368 a separate set of data independent of data used for calibration [57]. The following models 369 describe how they calibrated their models: [62] calibrates the parameters of the logistic 370 function governing the adoption of PV based on the secondary literature and publicly 371 available data; [63] performs the partial calibration (i.e. only of the financial submodel) 372 based on the values reported in the literature, experts' opinions and publicly available 373 datasets; [66] provides an indirect calibration with three empirical patterns, the same 374 used for parameterisation in [67].…”

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confidence: 99%

“…As for the remaining models, some do not differentiate 375 between validation and calibration [60], some call calibration "model fitting" [51], but 376 the majority do not mention calibration at all. Often authors mention the lack of data for 377 calibration as their limitations [63,73].…”

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confidence: 99%

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Agent-Based Modelling of Urban District Energy System Decarbonisation – A Systematic Literature Review

Akhatova¹,

Kranzl²,

Schipfer³

et al. 2021

Preprint

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There is an increased interest in the district-scale energy transition within interdisciplinary research community. Agent-based modelling presents a suitable approach to address variety of questions related to policies, technologies, processes, and the different stakeholder roles that can foster such transition. This state-of-the-art review focuses on the application of agent-based modelling for exploring policy interventions that facilitate the decarbonisation (i.e., energy transition) of districts and neighbourhoods while considering stakeholders’ social characteristics and interactions. We systematically select and analyse peer-reviewed literature and discuss the key modelling aspects, such as model purpose, agents and decision-making logic, spatial and temporal aspects, and empirical grounding. The analysis reveals that the most established agent-based models’ focus on innovation diffusion (e.g., adoption of solar panels) and dissemination of energy-saving behaviour among a group of buildings in urban areas. We see a considerable gap in exploring the decisions and interactions of agents other than residential households, such as commercial and even industrial energy consumers (and prosumers). Moreover, measures such as building retrofits and conversion to district energy systems involve many stakeholders and complex interactions between them that up to now have hardly been represented in the agent-based modelling environment.

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Section: Model Purposes and Outputs 29mentioning

confidence: 99%

mentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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Agent-Based Modelling of Urban District Energy System Decarbonisation – A Systematic Literature Review

Akhatova¹,

Kranzl²,

Schipfer³

et al. 2021

Preprint

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“…It is important to note that among the numerous studies carried out in the field of technology and the organization of construction work in the framework of published scientific works, questions on the installation of roofing with greening systems have not been sufficiently studied. The effects of substrate depth on plant community, the diffusion of green technologies under uncertainties, the thermal performance evaluation of green roof system and some problems of green roof system have been investigated in the recent articles [1][2][3][4][5][6]. There is a need to develop new structural and technical solutions and to study E3S Web of Conferences 164, 08018 (2020) TPACEE-2019 https://doi.org/10.1051/e3sconf /202016408018 the installation method and technology for erecting roofing, which would allow rational use of the potential of erection of roofing coatings with greening systems.…”

Section: The Principles Of Green Building Constructionmentioning

confidence: 99%

Application of organizational and technological modeling approaches in the construction of buildings with green roofs

Korol

Shushunova

2020

E3S Web Conf.

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The predominance of green spaces on the coatings of buildings and structures contributes to the formation and development of a new urban space, improves the environment, reducing greenhouse gas emissions into the atmosphere. The aim of the research is to study the various types of greening systems form a variable base of organizational and technological modelling, which allow to adopt the rational organizational and technological decisions in the construction. The research methodology and research methods are based on the theory and practice of constructing organizational and technological models and methods of rational planning in construction, decision theory, expert assessments, and comparison methods. As the results of streamlining the technological processes and operations of the roofing device with modular greening systems, the organizational and technological sequence of the roofing device with the modular greening system is formed. Application of the approaches of organizational-technological modeling in the construction of buildings with green roofs will allow verification with a limited set of experimental data.

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Assessing the combined effect of PV panels’ shading and cool materials on building energy loads in different climates

Vakilinezhad

Ziaee

2023

Environ Dev Sustain

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An agent-based approach to study the diffusion rate and the effect of policies on joint placement of photovoltaic panels and green roof under climate change uncertainty

Cited by 25 publications

References 48 publications

Agent-Based Modelling of Urban District Energy System Decarbonisation – A Systematic Literature Review

Agent-Based Modelling of Urban District Energy System Decarbonisation – A Systematic Literature Review

Application of organizational and technological modeling approaches in the construction of buildings with green roofs

Assessing the combined effect of PV panels’ shading and cool materials on building energy loads in different climates

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