Survey of software tools for energy efficiency in a community

Marković, Dragan; Cvetković, Dragan; Mašić, Branislav

doi:10.1016/j.rser.2011.06.014

Cited by 61 publications

(28 citation statements)

References 1 publication

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“…Relevant reviews include the ones by Mirakyan and De Guio (2013) and Huang et al (2015), who compare tools that can be employed during different phases of the process of planning community or city-scale energy systems. Markovic et al (2011) reviewed this kind of tools with an additional focus on the environmental impact of those energy systems. Allegrini et al (2015) performed a review on computational methods that address the planning, design, and operation of energy supply systems spanning from building to district scale.…”

Section: State-of-the-artmentioning

confidence: 99%

The Optimum Is Not the Goal: Capturing the Decision Space for the Planning of New Neighborhoods

Schüler

Cajot

Peter

et al. 2018

Front. Built Environ.

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This article presents the development and application of a methodology that employs optimization not to seek the single or few optimal plan(s) but to provide planners with a systematic overview of their decision space. As urban development projects are not only subject to decisions of planners but also to those of many actors, the insight about how different actors would decide based on the decisions of the planners should enable planners to already adapt their decisions to ensure that final project targets are reached. The existence of different decision makers is considered via a multiparametric mixedinteger linear programming (mpMILP) approach. Along with the methodology a model was developed, which incorporates multiple domains and scales. Those domains include social, environmental, form, energy, and economic aspects. The considered scales range from single floors up to a neighborhood. Model and methodology were applied to a greenfield development project. Two practical questions are answered, which address the impact of planning decisions about (a) the building density and the sustainability of the energy supply on costs of different actors and (b) the building density and the share of parks on the view on a landmark. The capturing of the decision space revealed trade-offs in terms of chosen energy supply system and urban form, respectively. The presented computational method forms part of the decision support tool URB io , which shall assist urban planning.

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Section: State-of-the-artmentioning

confidence: 99%

The Optimum Is Not the Goal: Capturing the Decision Space for the Planning of New Neighborhoods

Schüler

Cajot

Peter

et al. 2018

Front. Built Environ.

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“…Several available tools can be used for increasing the energy efficiency in buildings respectively microgrids [13].…”

Section: Modeling Toolsmentioning

confidence: 99%

Optimizing Distributed Energy Resources and building retrofits with the strategic DER-CAModel

et al. 2014

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The pressuring need to reduce the import of fossil fuels as well as the need to dramatically reduce CO 2 emissions in Europe motivated the European Commission (EC) to implement several regulations directed to building owners. Most of these regulations focus on increasing the number of energy efficient buildings, both new and retrofitted, since retrofits play an important role in energy efficiency. Keywordsbuilding retrofits, building shell improvements, decision making modeling, distributed energy resources, microgrid, mixed integer linear programming, strategic decision, zero net energy buildings

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“…It was used as specialized software for simulation of developed renewable sources named HOMER [14]. The details of various parameters such as solar and wind resource potential of the area, load profile of the livestock shelters and description of various component, i.e.…”

Section: Optimum Photovoltaic System 41 Homer Simulationmentioning

confidence: 99%

“…It performs sensitivity analyses which can help the analyst to do what-if analyses and to investigate the effects of uncertainty or changes in input variables. The objective of the optimization simulation is to evaluate the economic and technical feasibility of a large number of technology options and to account for variation in technology costs and energy resource availability [14] …”

Section: Optimum Photovoltaic System 41 Homer Simulationmentioning

confidence: 99%

Sizing and Optimization of a Livestock Shelters Solar Stand-Alone Power System

Soufi¹,

Chermitti²,

Triki³

2013

IJCA

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The application of renewable energy system has become an important alternative in agricultural domain. This paper studies the Possibility of utilizing photovoltaic stand-alone systems to cover basic electricity needs of the livestock shelters located in Terny Beni Hdiel district of Tlemcen (Algeria). Data on solar radiation, sunshine duration has been recorded in Terny Beni Hdiel area. This photovoltaic system, which includes a PV, inverter, and a battery, was installed to supply energy to 5500W load, considering that the renewable energy resources of this site where the system was installed were 4509Wh/m2/day solar radiation yearly average speed. The National Renewable Energy Laboratory (NREL) optimization computer model for distributed power, "HOMER," is used for the analysis of sizing and sensitivity, performed in order to obtain the most feasible configuration of a photovoltaic system.

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Survey of software tools for energy efficiency in a community

Cited by 61 publications

References 1 publication

The Optimum Is Not the Goal: Capturing the Decision Space for the Planning of New Neighborhoods

The Optimum Is Not the Goal: Capturing the Decision Space for the Planning of New Neighborhoods

Optimizing Distributed Energy Resources and building retrofits with the strategic DER-CAModel

Sizing and Optimization of a Livestock Shelters Solar Stand-Alone Power System

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