Planning the production of a fleet of domestic combined heat and power generators

Bosman, M.G.C.; Bakker, Vincent; Molderink, Albert; Hurink, Johann L.; Smit, Gerardus Johannes Maria

doi:10.1016/j.ejor.2011.07.033

Cited by 33 publications

(18 citation statements)

References 26 publications

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“…Balancing electricity using a group of microCHPs installed in individual households was studied by Bosman et al [5]. On one hand, they considered more complex model of a converter (e.g.…”

Section: Related Work and Applicationsmentioning

confidence: 99%

Approximation algorithms for scheduling a group of heat pumps

Fink

2020

Preprint

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This paper studies planning problems for a group of heating systems which supply the hot water demand for domestic use in houses. These systems (e.g. gas or electric boilers, heat pumps or microCHPs) use an external energy source to heat up water and store this hot water for supplying the domestic demands. The latter allows to some extent a decoupling of the heat production from the heat demand. We focus on the situation where each heating system has its own demand and buffer and the supply of the heating systems is coming from a common source. In practice, the common source may lead to a coupling of the planning for the group of heating systems. The bottleneck to supply the energy may be the capacity of the distribution system (e.g. the electricity networks or the gas network). As this has to be dimensioned for the maximal consumption, it is important to minimize the maximal peak. This planning problem is known to be NP-hard. We present polynomial-time approximation algorithms for four variants of peak minimization problems, and we determine the worst-case approximation error.

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“…Balancing electricity using a group of microCHPs installed in individual households was studied by Bosman et al [5]. On one hand, they considered more complex model of a converter (e.g.…”

Section: Related Work and Applicationsmentioning

confidence: 99%

Approximation algorithms for scheduling a group of heat pumps

Fink

2020

Preprint

View full text Add to dashboard Cite

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“…Theirs was a MILP model and the proposed heuristics were able to find solutions with 1-2% optimality gaps. Bosman et al [27] modeled the operation of microCHP generators as integer linear programming (ILP) problems. They proposed a local search using DP and benchmarked the results using AIMMS/CPLEX.…”

Section: Literature Reviewmentioning

confidence: 99%

Operational planning of combined heat and power plants through genetic algorithms for mixed 0–1 nonlinear programming

Gopalakrishnan

Kosanovic

2015

Computers & Operations Research

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a b s t r a c tThis paper is concerned with short-term (up to 24 h) operational planning in combined heat and power plants for district energy applications. In such applications, heat and power demands fluctuate on an hourly basis due to changing weather conditions, time-of-day factors and consumer requirements. Plant energy efficiency is highly dependent on ambient temperature and operating load since equipment efficiencies are nonlinear functions of these parameters. In operational planning strategies, nonlinear equipment characteristics are seldom taken into account, resulting in plants being operated at sub-par efficiencies. In order to operate plants at highest possible efficiencies, scheduling strategies which take into account nonlinear equipment characteristics need to be developed. For such strategies, a mixed 0-1 nonlinear programming formulation is proposed. The problem is nonconvex and hence global optimality conditions are unknown. Classical techniques like branch-and-bound may not produce integer feasible solutions, may cut off the global optima and have an exponential increase in CPU time for a linear increase in planning horizon size. As an alternative, a solution method through genetic algorithms is proposed in which genetic search is applied only on 0-1 variables and gradient search is applied on continuous variables. The proposed method is a nonlinear extension of the one originally developed by Sakawa et al. [Sakawa M, Kato K, Ushiro S. Operational planning of district heating and cooling plants through genetic algorithms for mixed 0-1 linear programming. Eur J Operat Res 2002;137(3):677-87].Numerical experiments show the proposed genetic algorithm method is more consistent in finding integer feasible solutions, finds solutions with lower optimality gaps and has reasonable CPU time as compared to branch-and-bound. From an application perspective, the proposed scheduling strategy results in 5-11% increase in plant energy efficiency.

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“…The sophistication and age of electrical networks in the 21st century vary significantly within a country. According to [3], they consider that there is a constant increase in annual energy, due to the consumption and use of technological, electrical and household appliances; which are a consequence of population growth and increased economic activity.…”

Section: Introductionmentioning

confidence: 99%

Validation of an Instrument Applied in Public Institutions of Ecuador to Know the Use of Intelligent Systems

et al. 2019

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The development of technologies associated with energy efficiency and use in lighting systems, arise as problems in the application of smart devices in different places such as: houses, buildings, industries, companies and public and private institutions. The objective of the study was to validate the instrument and the information obtained on the use of intelligent devices such as automatic control in a lighting system and its improvement in energy efficiency in the public sector. As a research methodology, a field study was conducted, based on a survey applied to 231 employees (bosses and workers) who work in 17 public institutions located in 6 cantons of the province of Manabí, Republic of Ecuador. To validate this instrument, an exploratory and confirmatory factorial analysis of the data obtained was carried out. As a result of the principal component analysis, a factor transformation matrix (0.870) was obtained and the reliability analysis was obtained (0.880) in relation to the reagents that describe three dimensions established in knowledge, application and technology management. It is concluded that the factor analysis applied through the KMO test, Bartlett's sphericity and Cronbach's alpha coefficient, with a correlation range ≥ 0.5 between reactants was feasible, which allows to certify the reliability and validity applied in this instrument.

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Planning the production of a fleet of domestic combined heat and power generators

Cited by 33 publications

References 26 publications

Approximation algorithms for scheduling a group of heat pumps

Approximation algorithms for scheduling a group of heat pumps

Operational planning of combined heat and power plants through genetic algorithms for mixed 0–1 nonlinear programming

Validation of an Instrument Applied in Public Institutions of Ecuador to Know the Use of Intelligent Systems

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