Optimisation models and methods in energy systems.

194 Pages·2019·17.729 MB·English

Optimisation
Models and
Methods in
Energy Systems
Edited by
Carlos Henggeler Antunes
Printed Edition of the Special Issue Published in Energies
www.mdpi.com/journal/energies
Optimisation Models and Methods in
Energy Systems

Optimisation Models and Methods in
Energy Systems
SpecialIssueEditor
CarlosHenggelerAntunes
MDPI•Basel•Beijing•Wuhan•Barcelona•Belgrade
SpecialIssueEditor
CarlosHenggelerAntunes
UniversityofCoimbra
Portugal
EditorialOffice
MDPI
St.Alban-Anlage66
4052Basel,Switzerland
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Contents
AbouttheSpecialIssueEditor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii
Prefaceto”OptimisationModelsandMethodsinEnergySystems” . . . . . . . . . . . . . . . . ix
VarvaraMytilinou,EstivalizLozano-MinguezandAthanasiosKolios
AFrameworkfortheSelectionofOptimumOffshoreWindFarmLocationsforDeployment
Reprintedfrom:Energies2018,11,1855,doi:10.3390/en11071855 . . . . . . . . . . . . . . . . . . . 1
YuleiXie,LinruiWang,GuoheHuang,DehongXiaandLingJi
A Stochastic Inexact Robust Model for Regional Energy System Management and Emission
ReductionPotentialAnalysis—ACaseStudyofZiboCity,China
Reprintedfrom:Energies2018,11,2108,doi:10.3390/en11082108 . . . . . . . . . . . . . . . . . . . 24
Van-HaiBui,AkhtarHussain,Hak-ManKimandYong-HoonIm
OptimalEnergyManagementofBuildingMicrogridNetworksinIslandedModeConsidering
AdjustablePowerandComponentOutages
Reprintedfrom:Energies2018,11,2351,doi:10.3390/en11092351 . . . . . . . . . . . . . . . . . . . 48
BarbaraGlenskandReinhardMadlener
FuzzyPortfolioOptimizationofPowerGenerationAssets
Reprintedfrom:Energies2018,11,3043,doi:10.3390/en11113043 . . . . . . . . . . . . . . . . . . . 70
NimaKhakzad
AGraphTheoreticApproachtoOptimalFirefightinginOilTerminals
Reprintedfrom:Energies2018,11,3101,doi:10.3390/en11113101 . . . . . . . . . . . . . . . . . . . 92
SivaSwaminathan,XimanWang,BingyuZhouandSimoneBaldi
AUniversityBuildingTestCaseforOccupancy-BasedBuildingAutomation
Reprintedfrom:Energies2018,11,3145,doi:10.3390/en11113145 . . . . . . . . . . . . . . . . . . . 106
Marco R. M. Cruz, Desta Z. Fitiwi, Se´rgio F. Santos, Sı´lvio J. P. S. Mariano and
Joa˜o P. S. Catala˜o
Prospects of a Meshed Electrical Distribution System Featuring Large-Scale Variable
Renewable Power
Reprintedfrom:Energies2018,11,3399,doi:10.3390/en11123399 . . . . . . . . . . . . . . . . . . . 121
WoongKoandJinhoKim
Generation Expansion Planning Model for Integrated Energy System Considering Feasible
OperationRegionandGenerationEfficiencyofCombinedHeatandPower
Reprintedfrom:Energies2019,12,226,doi:10.3390/en12020226. . . . . . . . . . . . . . . . . . . . 138
Paula Medina Mac¸aira, Yasmin Monteiro Cyrillo, Fernando Luiz Cyrino Oliveira and
ReinaldoCastroSouza
Including Wind Power Generation in Brazil’s Long-Term Optimization Model for
EnergyPlanning
Reprintedfrom:Energies2019,12,826,doi:10.3390/en12050826. . . . . . . . . . . . . . . . . . . . 158
v

About the Special Issue Editor
Carlos Henggeler Antunes is a Full Professor of the Department of Electrical and Computer
Engineering, Director of the R&D Institute INESC Coimbra, and member of the coordination
committee of the Energy for Sustainability Initiative of the University of Coimbra, Portugal.
He obtained his Ph.D. in Electrical Engineering (Optimization and Systems Theory) at the University
of Coimbra in 1992. His research interests include multiple objective optimization, multicriteria
analysis, and energy systems and policies with a focus on energy efficiency and demand response.
He has participated in more than forty R&D and consulting projects in the domains of energy
efficiency and decision support systems. He served as guest-editor of Special Issues in several
journals on topics such as uncertainty and robustness in planning and decision support models,
energy efficiency for a more sustainable world, models and methods of operations research in the
energy sector, sustainable cities, challenges in the evolution of power systems to smart grids. He is
Editor of the EURO Journal on Decision Processes and Energy Policy, and member of the editorial
board of the Journal of Energy Markets, Sustainable Cities and Society and Energies. He co-authored
the book “Multiobjective Linear and Integer Programming” published by Springer in April 2016.
vii

Preface to ”Optimisation Models and Methods in
Energy Systems”
Challenging problems arise in all segments of energy industries—generation, transmission,
distribution and consumption. Optimization models and methods play a key role in offering
decision/policy makers better information to assist them in making sounder decisions at different
levels, ranging from operational to strategic planning.
Energy systems and networks are increasingly complex; therefore, optimization models and
methods are essential tools for the development of smart(er) networks within more integrated
and sustainable energy systems, encompassing electricity, gas, district heating/cooling, etc.,
with pervasive deployment of information and communication technologies. Technical design,
operational, economic, regulatory, social and environmental issues, among others, are at stake,
requiring interdisciplinary approaches, with contributions from engineering, economics and social
science fields to the definition of adequate optimization models and methods to support more
informed decision processes.
Planning tasks are increasingly complex due to the unbundling of the industry value chain and
the emergence of new players (e.g., aggregators) and market structures. The ongoing evolution of
energy systems to smart grids comprises the deployment of new network automation technologies,
bi-directional communication, smart metering, analysis and the extraction of value from massive
amounts of data. This process enables the integration of further renewable-based generation, which
contributes to the decarbonization of the economy but in turn creates new technical and market
challenges due to its variable nature, and contributes also to the empowerment of consumers who
may have a more proactive role through demand response mechanisms. The global aim is to develop
more sustainable, reliable and efficient grids.
This Special Issue of Energies on “Optimization Models and Methods in Energy Systems"
comprises nine papers, which have been recommended for publication after a thorough reviewing
procedure. The papers address diversified problems, including the selection of offshore wind
farm locations, a model for the analysis of regional energy system management and emission
reduction potential, the management of building microgrid networks in islanded mode considering
adjustable power and component outages, the portfolio optimization of power generation assets,
a graph theoretic approach to optimal firefighting in oil terminals, a university building test case
for occupancy-based building automation, the prospects of a meshed electrical distribution system
featuring large-scale variable renewable power, a generation expansion planning model for an
integrated energy system considering feasible operation region and the generation efficiency of
combined heat and power, and the consideration of wind power generation in Brazil’s long-term
energy planning model.
Mytilinou et al. develop a framework to assist wind energy developers to select the optimal
deployment site of a wind farm. The framework includes optimization techniques, decision-making
methods and experts’ input to support investment decisions. Techno-economic evaluation, life cycle
costing and physical aspects for each location are considered along with experts’ opinions to provide
deeper insight into the decision-making process. A combination of the nondominated sorting
multi-objective genetic algorithm NSGA-II and the multi-criteria technique for the order of preference
by similarity to the ideal solution TOPSIS is used to recommend the optimal location. An application
in the UK is reported to assist decision makers to make more informed and cost-effective decisions
ix