Greenhouse gases emission assessment in residential sector through buildings simulations and operation optimization

Stojiljković, Mirko M.; Ignjatović, Marko; Vučković, Goran

doi:10.1016/j.energy.2015.05.021

Cited by 34 publications

(11 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, using moving-horizon short-term operation optimization [10], instead of typical periods, although computationally more intensive, might be beneficial, because it does not require one to choose typical periods, which is a critical process from the accuracy aspect, and allows the consideration of an entire horizon.…”

Section: Discussionmentioning

confidence: 99%

“…This problem might also be defined as nonlinear and solved using some appropriate method. It is also possible to use the moving-horizon short-term optimization approach [10,11]. If it is satisfactory for the user, operation regimes might be just assumed, without doing optimization at all, etc.…”

Section: Optimization Methodsmentioning

confidence: 99%

“…In [7,8], the methodologies for choosing typical days i.e., periods, are suggested. In contrast, in [9], a full year is analyzed, although with a somewhat longer time step of 4 h. In [10], the consideration of a whole observed period is suggested based on moving-horizon short-term operation optimization.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multi-Objective Combinatorial Optimization of Trigeneration Plants Based on Metaheuristics

Stojiljković

Blagojević

2014

Energies

View full text Add to dashboard Cite

In this paper, a methodology for multi-objective optimization of trigeneration plants is presented. It is primarily applicable to the systems for buildings' energy supply characterized by high load variations on daily, weekly and annual bases, as well as the components applicable for flexible operation. The idea is that this approach should enable high accuracy and flexibility in mathematical modeling, while remaining efficient enough. The optimization problem is structurally decomposed into two new problems. The main problem of synthesis and design optimization is combinatorial and solved with different metaheuristic methods. For each examined combination of the synthesis and design variables, when calculating the values of the objective functions, the inner, mixed integer linear programming operation optimization problem is solved with the branch-and-cut method. The applicability of the exploited metaheuristic methods is demonstrated. This approach is compared with the alternative, superstructure-based approach. The potential for combining them is also examined. The methodology is applied for multi-objective optimization of a trigeneration plant that could be used for the energy supply of a real residential settlement in Niš, Serbia. Here, two objectives are considered: annual total costs and primary energy consumption. Results are obtained in the form of a Pareto chart using the epsilon-constraint method.Energies 2014, 7 8555

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Optimization Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Objective Combinatorial Optimization of Trigeneration Plants Based on Metaheuristics

Stojiljković

Blagojević

2014

Energies

View full text Add to dashboard Cite

show abstract

“…Table 1 lists the average supply quantities of structural materials per unit area by building section. For each assessment item, the supply quantities of structural materials can be determined from the floor area, number of stories, and supply quantities coefficient, as described in Equations (4)- (6). In the ready-mixed concrete (refer to Equation (4)), the modification factor was applied in order to consider the decrease in supply quantity of the vertical members according to use of high-strength concrete [41].…”

Section: Materials Production Processmentioning

confidence: 99%

“…The building industry, which is a large-scale energy consumer accounting for more than 30% of all CO 2 emissions, poses a major obstacle in CO 2 reductions for all countries [3][4][5][6][7]. Accordingly, a realistic policy to reduce CO 2 emissions in this industry is required [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Building Simplified Life Cycle CO2 Emissions Assessment Tool (B‐SCAT) to Support Low‐Carbon Building Design in South Korea

Roh

Tae

2016

Sustainability

View full text Add to dashboard Cite

Abstract:Various tools that assess life cycle CO 2 (LCCO 2 ) emissions are currently being developed throughout the international community. However, most building LCCO 2 emissions assessment tools use a bill of quantities (BOQ), which is calculated after starting a building's construction. Thus, it is difficult to assess building LCCO 2 emissions during the early design phase, even though this capability would be highly effective in reducing LCCO 2 emissions. Therefore, the purpose of this study is to develop a Building Simplified LCCO 2 emissions Assessment Tool (B-SCAT) for application in the early design phase of low-carbon buildings in South Korea, in order to facilitate efficient decision-making. To that end, in the construction stage, the BOQ and building drawings were analyzed, and a database of quantities and equations describing the finished area were conducted for each building element. In the operation stage, the "Korea Energy Census Report" and the "Korea Building Energy Efficiency Rating Certification System" were analyzed, and three kinds of models to evaluate CO 2 emissions were proposed. These analyses enabled the development of the B-SCAT. A case study compared the assessment results performed using the B-SCAT against a conventional assessment model based on the actual BOQ of the evaluated building. These values closely approximated the conventional assessment results with error rates of less than 3%.

show abstract

Energy Retrofitting and Social Housing Instrumentation Attending Passive Criteria. Case Study in Winter

Melgar

Andújar

Bohórquez

2017

Sustainable Development and Renovation in Architecture, Urbanism and Engineering

View full text Add to dashboard Cite

Greenhouse gases emission assessment in residential sector through buildings simulations and operation optimization

Cited by 34 publications

References 49 publications

Multi-Objective Combinatorial Optimization of Trigeneration Plants Based on Metaheuristics

Multi-Objective Combinatorial Optimization of Trigeneration Plants Based on Metaheuristics

Building Simplified Life Cycle CO2 Emissions Assessment Tool (B‐SCAT) to Support Low‐Carbon Building Design in South Korea

Energy Retrofitting and Social Housing Instrumentation Attending Passive Criteria. Case Study in Winter

Contact Info

Product

Resources

About