Decision support methodologies on the energy efficiency and energy management in buildings

Κολοκότσα, Δ.; Diakaki, Christina; Grigoroudis, Evangelos; Stavrakakis, G.; Kalaitzakis, K.

doi:10.3763/aber.2009.0305

Cited by 143 publications

(92 citation statements)

References 52 publications

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“…These methods are used for evaluating and selecting renovation and modernization scenarios (variants) of buildings in order to improve buildings' condition and carry out technical and economic comparisons of the proposed repair variants (Rasiulis et al 2016;Raslanas et al 2011;Zavadskas et al 2008;Kaklauskas et al 2008). The computer examples of integrated systems to diagnose a building condition and make decisions about the way and scope of renovation works with particular emphasis on thermo-modernization works are: TOBUS system (European diagnostics and decision-making Tool for Office Building Upgrading Solutions) developed for office buildings (Caccavelli, Gugerli 2002), EPIQR (Energy Performance and Indoor Quality Retrofit) for residential buildings (Kolokotsa et al 2009) and XENIOS system to assess hotel facilities (Dascalaki, Balaras 2004). Another example of a more comprehensive computer system to improve the maintenance quality and reduce the maintenance costs is BASE-FM system (Dukić et al 2013).…”

Section: Methods and Models For Building Maintenancementioning

confidence: 99%

Decision-Making Model Supporting the Process of Planning Expenditures for Residential Building Renovation

Bucoń

Tomczak

2018

Technological and Economic Development of Economy

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Abstract. The problem of multi-family building maintenance is complex and comprises numerous issues, one of which is the process of planning expenditures for residential building renovation. This task is important from the manager's point of view as their responsibility is to maintain a building in a non-deteriorated condition. To fulfil this task, the authors of this paper suggest utilising a decisionmaking model aimed at defining renovation activities making it possible to retain the maintenance standard (as regards newly commissioned residential buildings) or improve it (as regards existing buildings). The suggested model is based on a multi-criteria building assessment including seven requirements. The calculations conducted using the suggested model enable us to define the costs and scope of renovation taken to ensure the assumed building condition or, by assuming various rates paid to the renovation reserve, to define the period in which the above-mentioned goals may be achieved.

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Section: Methods and Models For Building Maintenancementioning

confidence: 99%

Decision-Making Model Supporting the Process of Planning Expenditures for Residential Building Renovation

Bucoń

Tomczak

2018

Technological and Economic Development of Economy

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“…The mode of heat supply according to the amount of heat energy consumed in a building and temperature conditions of the environment is determined with the use of the model presented in [10].…”

Section: Methods and Materials Of Researchmentioning

confidence: 99%

The Model of Decision Support in Centralized Heating Management on the Consumer Side

Parfenenko

2017

Innovative Technologies and Scientific Solutions for Industries

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“…These differences affect objective functions, decision variables, and the engineering calculations of the problem. Kolokotsa et al [9] reviewed decision methodologies for energy efficiency in buildings and, as a result of this study, specified that it is possible to make evaluations in the following 6 different areas: a) energy-related: basic energy consumption, heating-cooling load, and electricity consumption; b) cost-related: initial investment cost, direct cost, net present value, and life cycle cost; c) environmentrelated: annual emissions, global warming, and lifelong environmental potential; d) comfort-related: internal ambient temperature and humidity, CO 2 rate, ventilation rate, and sunlight and noise levels; e) miscellaneous: construction time and safety. Diakaki et al [1] developed a multiobjective optimization model by considering energy consumption and initial investment cost.…”

Section: Recent Studies On Building An Optimization Problemmentioning

confidence: 99%

Developing a model and software for energy efficiency optimization in the building design process: a case study in Turkey

Bayata¹,

Temiz²

2017

Turk J Elec Eng & Comp Sci

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Abstract:Buildings are responsible for 40% of the primary energy consumption in the world. Recent studies have revealed that the energy efficiency and environmental impact of buildings are two very important criteria to consider during the process of building design for the future of our world. By considering the initial investment cost and its importance for investors, a problem with three objective functions has emerged with 16 building energy systems and 24 construction material alternatives. The aim of this work is to develop a methodology and software to solve multiobjective building optimization problems. Thus, two different software tools have been developed using MATLAB. The first tool, the Building Energy Consumption Calculation Program, is used to calculate the building's annual energy consumption according to the Turkish standard for thermal insulation requirements for buildings, initial investment costs, and CO 2 emissions. The second tool, the Building Energy Optimization Program, is a multiobjective optimization program that uses the NSGA-II genetic algorithm to minimize objectives. With the help of the programs in question, multiobjective optimization of a sample building has been conducted. The results demonstrate that the developed model and software tools are generic, feasible solutions that can be implemented in a reasonable timeframe; thus, they can be adapted to a large range of building optimization problems and will be useful for decision makers.

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Decision support methodologies on the energy efficiency and energy management in buildings

Cited by 143 publications

References 52 publications

Decision-Making Model Supporting the Process of Planning Expenditures for Residential Building Renovation

Decision-Making Model Supporting the Process of Planning Expenditures for Residential Building Renovation

The Model of Decision Support in Centralized Heating Management on the Consumer Side

Developing a model and software for energy efficiency optimization in the building design process: a case study in Turkey

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