A demand based approach to optimisation of energy supply mix for smart buildings

Prodanović, Milan; Gafurov, Tokhir; Tellez, M. B.

doi:10.1109/isgt.2012.6175731

Cited by 6 publications

(4 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…x allow computing the fixed costs of the energy sources given by (3), (6) and (9). The variable costs (4), (7) and (10) have to be calculated after determining the amount of energy supplied by each source.…”

Section: Initial Considerationsmentioning

confidence: 99%

“…The generated energy ( ( ) 7and (10). Furthermore, the fixed costs are given by (3), (6) and 9for a given set of capacities . Finally, the fixed and variable costs allow computing the overall cost (1) related to the energy supply.…”

Section: Cost Minimizationmentioning

confidence: 99%

“…The algorithm in [5] considers both centralized and decentralized technologies and determines the optimal technology mix for a neighbourhood or a small town taking into account constraints such as a maximum emission of CO 2 . The integrated approach presented in [6] improves the energy efficiency combining the computation of the optimal energy supply mix with a proactive energy management. The multi-objective optimization of an energy supply system for an industrial district [7] includes the costs of the energy supply system and the environmental impact of a positive or negative CO 2 balance with respect to traditional systems.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Supply Mix Optimization for Decentralized Energy Systems

Gruber¹,

Fernández²,

Prodanović³

2013

OJAppS

Self Cite

View full text Add to dashboard Cite

In recent years, the energy sector has undergone an important transformation as a result of technological progress and socioeconomic development. The continuous integration of renewable energy sources forces a gradual transition from the traditional business model based on a reduced number of large power plants to a more decentralized energy production. The decentralization and the increased number of energy sources lead to a series of new challenges in the energy sector. This paper presents an approach to determine the optimal energy supply mix for small and medium sized buildings or installations. The optimization algorithm considers the electricity and heat demand and determines the optimal combination of energy sources by minimizing an economic index. The optimization problem can be solved for multiple demand profiles and takes into account the possibility to integrate accumulator systems. The proposed approach provides a high degree of flexibility and can be used to study the influence of the energy prices on the optimal energy supply mix. The performance of the proposed optimization approach is illustrated by the results obtained from a simulation example.

show abstract

Section: Initial Considerationsmentioning

confidence: 99%

Section: Cost Minimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Supply Mix Optimization for Decentralized Energy Systems

Gruber¹,

Fernández²,

Prodanović³

2013

OJAppS

Self Cite

View full text Add to dashboard Cite

show abstract

“…Buildings account for approximately 40% of the total energy consumed around the world, including up to 65% of electricity. They are responsible for almost 40% of the European Union CO 2 emissions as well [6][7][8][9]. In this context buildings play a pivotal role in the SG concept, being perceived first of all as consumers, but a progressive implementation of RES in buildings and households provides opportunity to change them into prosumers.…”

Section: Introductionmentioning

confidence: 99%

A New Concept of Active Demand Side Management for Energy Efficient Prosumer Microgrids with Smart Building Technologies

Ożadowicz

2017

Energies

View full text Add to dashboard Cite

Abstract:Energy efficient prosumer microgrids (PMGs) with active and flexible demand side management (DSM) mechanisms are considered to be crucial elements of future smart grids. Due to an increasing share of renewable energy and the growing power demand, appropriate tools to manage not only the loads but also small generation units, heating and cooling systems, storage units and electric vehicles should be provided for them. Therefore, this paper proposes an innovative approach to both physical and logical organization of an active DSM system for future building-integrated prosumer microgrids (BIPMGs), based on standard building automation and control systems (BACS) as well as Internet of Things (IoT) paradigm. New event-triggered control functions with developed universal, logical interfaces for open BACS and IoT network nodes are presented and their implementation in smart metering as well as fully integrated energy management mechanisms is analyzed. Finally, potential energy efficiency improvements with proposed BACS functions are discussed, based on BACS efficiency requirements defined in the EN 15232 standard.

show abstract