# Drilldown

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EnergyHubLiteratureSources

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Literature source Authors:

Literature source Full author list:

Literature source First Author University Affiliation:

Applied Energy (20) ·
Applied Thermal Engineering (5) ·
Biomass & Bioenergy (1) ·
Chemical Engineering Research and Design (1) ·
Chemical Engineering Transactions (1) ·
Computers and Operations Research (1) ·
Computes and Chemical Engineering (6) ·
Desalination and Water Treatment (1) ·
Distributed Generation & Alternative Energy Journal (1) ·
Electric Power and Energy Systems (1) ·
Electric Power Systems Research (4) ·
Energies (2) ·
Energy (34) ·
Energy and Buildings (6) ·
Energy Conversion and Management (6) ·
Energy Economics (1) ·
Energy Policy (2) ·
European Journal of Operations Research (2) ·
European Transaction on Electrical Power (1) ·
Industrial and Engineering Chemistry Research (1) ·
International Journal of Energy Sector Management (1) ·
Journal of Building Performance Simulation (1) ·
Renewable Energy (7) ·
Solar Energy (1)

Literature source Article Title:

Literature source Keywords:

None (69) ·
doi.org/10.1080/21563306.2011.10412189 (1) ·
doi.org/10.1108/17506220810892946 (1) ·
doi:10.1016/j.apenergy.2008.09.006 (1) ·
doi:10.1016/j.apenergy.2009.09.023 (1) ·
doi:10.1016/j.apenergy.2010.06.013 (1) ·
doi:10.1016/j.apenergy.2012.09.019 (1) ·
doi:10.1016/j.apenergy.2014.02.062 (1) ·
doi:10.1016/j.applthermaleng.2012.01.067 (1) ·
doi:10.1016/j.applthermaleng.2014.02.051 (1) ·
doi:10.1016/j.ejor.2011.07.033 (1) ·
doi:10.1016/j.enbuild.2011.08.010 (1) ·
doi:10.1016/j.enbuild.2014.06.030 (1) ·
doi:10.1016/j.enbuild.2014.12.039 (1) ·
doi:10.1016/j.enconman.2015.02.015 (1) ·
doi:10.1016/j.energy.2006.10.023 (1) ·
doi:10.1016/j.energy.2008.10.019 (1) ·
doi:10.1016/j.energy.2010.11.014 (1) ·
doi:10.1016/j.energy.2011.10.008 (1) ·
doi:10.1016/j.energy.2012.12.003 (1) ·
doi:10.1016/j.energy.2013.04.004 (1) ·
doi:10.1016/j.energy.2013.06.053 (1) ·
doi:10.1016/j.energy.2013.10.039 (1) ·
doi:10.1016/j.energy.2014.02.042 (1) ·
doi:10.1016/j.energy.2014.04.023 (1) ·
doi:10.1016/j.energy.2014.04.097 (1) ·
doi:10.1016/j.energy.2014.06.007 (1) ·
doi:10.1016/j.enpol.2013.05.009 (1) ·
doi:10.1016/j.epsr.2015.02.007 (1) ·
doi:10.1016/j.renene.2013.06.013 (1) ·
doi:10.1016/j.renene.2014.12.044 (1) ·
http://ac.els-cdn.com/S0098135413003384/1-s2.0-S0098135413003384-main.pdf? tid=4baba58a-70cc-11e5-a432-00000aacb35f&acdnat=1444646025 615cd50b15f6e3bf1bfe5cf7c07299fb (1) ·
http://ac.els-cdn.com/S0098135414000507/1-s2.0-S0098135414000507-main.pdf? tid=9dbc54d4-70cf-11e5-bd2c-00000aab0f6c&acdnat=1444647451 5af26e7762ff14cbe701b014f42010a5 (1) ·
http://ac.els-cdn.com/S0360544212001600/1-s2.0-S0360544212001600-main.pdf? tid=c7ed457c-70c7-11e5-b522-00000aab0f27&acdnat=1444644086 2904f4a447bd8e1167eed6bd85858104 (1) ·
http://ac.els-cdn.com/S0360544215002856/1-s2.0-S0360544215002856-main.pdf? tid=6e4b7cb4-70d6-11e5-ba1d-00000aab0f26&acdnat=1444650378 66159084c7bfc453625b2ffc69cd4d7c (1) ·
http://ac.els-cdn.com/S1359431111006636/1-s2.0-S1359431111006636-main.pdf? tid=11ea1456-6e71-11e5-b520-00000aab0f27&acdnat=1444386941 a6d0aab92dbef6b8c216c3db7a49ded3 (1) ·
http://dx.doi.org/10.1002/etep.418 (1) ·
http://dx.doi.org/10.1016/j.biombioe.2012.01.022 (1) ·
http://dx.doi.org/10.1016/j.ijepes.2014.03.038 (1)

None (80) ·
A comprehensive and novel design framework that covers the complete building system, including the most relevant boundary conditions, and provides a simultaneous optimal system design and control system. (1) ·
A data-driven MILP model for optimising the short-term operation of a CCHP system in order to minimise operation cost, while employing piecewise linear approximations of technology performance curves. (1) ·
Analysis of the impact of renewable energy policies on technology selection and performance (1) ·
Battery storage, multi-microgrid, new approach for dealing with variability in renewable resources (1) ·
Bi-level MILP (1) ·
comparison integer cut constraints VS evolutionary algorithms (1) ·
Decomposition approach. Battery model (1) ·
Development of a MILP model to find an optimal energy system by minimizing the total energy cost while guaranteeing reliable system operation. (1) ·
How does the choice of optimisation formulation (LP, MILP, NLP) influence the model results. (1) ·
Improved thermal storage model (1) ·
Inclusion of energy demand modelling and use of rolling horizon (1) ·
Influence of the amortization period on the ptimisation of a distributed urban district heating and cooling trigeneration system (1) ·
Introduces an optimisation model for the simultaneous integration of heat and power for residential systems while accounting for economic an environmental objectives (1) ·
More accurate modeling of cogeneration unit and storage characteristics (1) ·
Multi-objective optimisation (1) ·
MUlti-objective optimisation of renewable electricity system that considers cost, embodied emissions, and uncertainty in renewable electricity generation. (1) ·
Multi-objective, multi-period optimization of district energy systems: a case study (1) ·
New hybrid MILP formulation (1) ·
Rolling unit commitment model incorporating MPC algorithm optimizing the microgrid operation on a daily basis considering the uncertainties inherent to the RES production and demand forecasting (1) ·
sizing and operation optimization of district heating systems with heat storage tanks (1) ·
Storage and network modelling (1) ·
The design and the extension of distribution networks and transportation of resources, based on the geographical information system (GIS) (1) ·
The development of a generic optimisation model for the design of a distributed energy system. (1) ·
The development of an optimised design tool that determines the optimal size of a cogeneration plant to be employed in a commercial microgram. (1) ·
The integration of biomass resources, a simultaneous multi-objective and multi-period optimization (1) ·
two alternative stepwise methods to approximate two-dimensional non-linear DER efficiency curves (1) ·
Use of MILP to determine the optimal sizing and operation, both daily and seasonally. (1)

None (68) ·
1 building (12) ·
10 buildings (1) ·
20 buildings (1) ·
29 buildings (1) ·
4 buildings (1) ·
5 buildings (1) ·
50 buildings (1) ·
6 buildings (4) ·
9 buildings (2) ·
Building, Neighbourhood (1) ·
Campus (1) ·
City (2) ·
city (450 000 inhabitants) (2) ·
city (500 000 inhabitants) (1) ·
City scale (2) ·
Microgrid (1) ·
NA (2) ·
Regional (1) ·
Rural town (1) ·
single (1)

None (68) ·
1 building (14) ·
12 clusters (nodes) (2) ·
aggregated (1) ·
Aggregated buildings (1) ·
Aggregated nodes (1) ·
Aggregated over the entire spatial scale (1) ·
Aggregation of entire campus (1) ·
Aggregation of the entire city (1) ·
City clusters (1) ·
district heating demand aggregated (1) ·
House (1) ·
Individual building (5) ·
Individual Buildings (3) ·
NA (4) ·
single (1) ·
Single Buildings (1)

None (69) ·
1 day (3) ·
1 hour (7) ·
1 month (1) ·
1 year (16) ·
15 minute (1) ·
20 years (1) ·
8760 hours (2) ·
Day (1) ·
hour (1) ·
hours (4) ·
week (1)

None (70) ·
Annual installation and O&M cost (1) ·
Annual primary energy consumption (1) ·
Annual total cost (2) ·
cost and emissions (3) ·
Initial investment cost (1) ·
Maximise the annual savings that a given plant configuration offers over a conventional plant (1) ·
min (annual investment and operating costs) / min (CO2 emissions) (4) ·
min (annual investment and operating costs) / min (CO2 emissions) / max (System efficiency) (1) ·
Minimisation of annualized capital costs and annual operating costs (1) ·
Minimisation of operating cost (1) ·
Minimise annual cost (3) ·
Minimise CO2 Emissions (1) ·
Minimise fuel cost (1) ·
Minimise levelled cost of energy, embodied emissions, and probability of expected energy deficiency (1) ·
Minimise operational cost (1) ·
Minimise overall annual cost (1) ·
Minimise total annual cost (1) ·
Minimise total cost (1) ·
Minimise total operation and maintenance cost (1) ·
NPV and CO2 Emissions (1) ·
Total Annual Cost (6) ·
Total annual cost and total emission (1) ·
Total annual cost (capital plus OM) (1) ·
Total fuel and OM costs (1)

None (85) ·
(1 + inflation rate)^(Lifetime)/(1 + discount rate)^(Lifetime)/ (1) ·
(1 + r)^(Lifetime) - 1/ r(1+r)^(Lifetime) (1) ·
(IR*(1+IR)^Lifetime)/((1+IR)`Lifetime)-1) (5) ·
Annuity factor (1) ·
Capital recovery factor (1) ·
NA (8) ·
r(1+r)^(Lifetime)/((1+r)^(Lifetime)-1) (1) ·
r*((1+r)^N)/(((1+r)^N)-1) (1) ·
r/(1 - (1 + r)^(-Lifetime)) (1) ·
r/(1 - (1/(1+r)^(Lifetime))) (1) ·
r/(1-(1+r)^(-lifetime)) (1)

None (73) ·
Carbon Tax (2) ·
CO2 Emissions (10) ·
CO2 emissions / System efficiency (1) ·
CO2 Emissions, Human Health, Ecosystem Quality (1) ·
Cost of emissions (1) ·
Embodied emissions; Probability of expected energy deficiency (1) ·
GHG Emissions (1) ·
GHG Emissions; Total energy consumption (1) ·
Greenhouse gas emissions: primary energy consumption (1) ·
No (7) ·
None (4) ·
Primary energy cinsumption (1) ·
Primary energy consumption, CO2 emissions (1) ·
Renewable Energy Quotas/Tarrifs/Subsidies - see paper for more details (1) ·
Restrictions on CO2 emissions (1)

None (70) ·
Electricity (2) ·
Electricity and Heating (7) ·
Electricity and Hot water (1) ·
Electricity, Cooling, Low temperature heating, High temperature heating (1) ·
Electricity, Heating (7) ·
Electricity, Heating, Cooling (11) ·
Electricity, heating, gas, water (1) ·
Electricity, space heating, cooling, hot water (1) ·
Heat and Electricity (1) ·
Heating and Cooling (1) ·
Heating, Cooling, Electricity (1) ·
Heating, Electricity (2) ·
Heating, Electricity, Cooling, Hot Water (1)

None (80) ·
Auditted (1) ·
BPS (IES) & CIBSE Guide F (1) ·
Building energy simulation (1) ·
Derived from measured data (1) ·
Energy Plus Simulations (1) ·
Estimated (Simulations) (1) ·
Field investigation (1) ·
Measured (1) ·
Measured and simulated (1) ·
Measured and surveyed (1) ·
Measured data (3) ·
Metered (Audit) (2) ·
Metered Data (1) ·
Modeled (1) ·
NA (3) ·
Simulated (3) ·
Simulated. Simple RC model. (1) ·
Simulation (1) ·
Survey and Measurement (1) ·
UK benchmark data (CIBSE), information provided by eco-town developers (1)

None (73) ·
Distance Based (1) ·
NA (2) ·
No (19) ·
Yes (7) ·
Yes - as function of distance between generator and consumer (1) ·
Yes - Fixed percentage base on distance between generation and consumption - 0.1% per m / electrical network loss 0.03% per km (1) ·
Yes - fixed percentage of the amount of energy being distributed (1) ·
Yes - fixed percentage of the amount of energy being distributed - 1% (1) ·
Yes - percentage of length of pipeline and amount of energy distributed (1)

None (78) ·
Fixed a s a percentage of energy stored in each time interval (2) ·
Fixed a s a percentage of energy stored in each time interval - 0.2% (1) ·
Fixed a s a percentage of energy stored in each time interval - 10% (1) ·
NA (5) ·
No (15) ·
Yes (2) ·
Yes - fixed percentage (1) ·
Yes - fixed percentage plus additional losses in unusable section of tank (1) ·
Yes - percentage of amount stored (1)

None (82) ·
AIMMS (1) ·
AMPL using IBM ILOG CPLEX (1) ·
CPLEX (1) ·
FICO Xpress (1) ·
GAMS (8) ·
GAMS using CPLEX (1) ·
GAMS using LINDOGLOBAL and BARON solvers (1) ·
Gurobi Optimizer (1) ·
IBM ILOG CPLEX (1) ·
LINGO (1) ·
LINGO 8.0 (1) ·
LINGO V12.0 (1) ·
MATLAB and Yalmip toolbox (1) ·
MATLAB using Optimisation Toolbox (1) ·
NA (1) ·
Xpress (2) ·
XpressMT (1)

None (87) ·
1 MB dual core 2.5 GHz personal computer (1) ·
2.4 GHz and 8 GB of RAM (1) ·
EPFL Pleiades cluster (1) ·
Intel Core Due T9400 @2.52 GHz, 4 GB RAM. (1) ·
Intel Core Duo P8600 2.4 GHz with 2 GB RAM (1) ·
Intel i5 laptop processor (2.6 GHz) with 64 bit Windows 7 (1) ·
Intel Xeon processor E5-2687W and 48-GB SDRAM (1) ·
Intel(R) Core(TM) i3-2100 CPU of 3.10 GHz with a memory size of 2.99GB (1) ·
MacBook Air with Mac OS X 10.6.7 (1) ·
NA (10) ·
ntel i7-4710HQ processor with 2.5 GHz, 8 GB RAM (1)

Showing below up to **107** results in range #**1** to #**107**.

View (previous 250 | next 250) (20 | 50 | 100 | 250 | 500)

### A

- Abdollahi and Maratizaman, 2011 - Multi-objective approach in thermoenvironomic optimization of a small-scale distributed CCHP system with risk analysis
- Abdullah et al, 2015 - Sustainable energy system design with distributed renewable resources considering economic, environmental and uncertainty aspects
- Acuri et al, 2007 - A mixed integer programming model for optimal design of trigeneration in a hospital complex
- Ahmadi et al, 2015 - Evaluating the effectiveness of normal boundary intersection method for short-term environmental/economic hydrothermal self-scheduling
- Akbari et al, 2014 - Optinal investment and unit sizing of distributed energy systems under uncertainty: A robust optimization approach
- Ashouri et al, 2013 - Optimal design and operation of building services using mixed-integer linear programming techniques
- Aste et al, 2013 - Cost optimal analysis of heat pump technology adoption in residential reference buildings

### B

- Bischi et al, 2014 - A detailed MILP optimization model for combined cooling, heat, and power system operation planning
- Blarke and Dotzauer, 2011 - Intermittency-friendly and high-efficiency cogeneration: Operational optimisation of cogeneration with compression heat pump, flue gas heat recovery, and intermediate cold storage
- Bosman et al, 2012 - Planning the production of a fleet of domestic combined heat and power generators
- Bracco et al, 2013 - Economic and environmental optimization model for the design and the operation of a combined heat and power distributed generation system in an urban area
- Bracco et al, 2014 - A mathematical model for the optimal operation of the University of Genoa Smart Polygeneration Microgrid: Evaluation of technical, economic and environmental performance indicators
- Brahman et al, 2015 - Optimal electrical and thermal energy management of a residential energy hub, integrating demand response and energy storage system
- Buoro et al, 2011 - Optimization of Distributed Trigeneration Systems Integrated with Heating and Cooling Microgrids
- Buoro et al, 2013 - Multicriteria optimization of a distributed energy supply system for an industrial area
- Buoro et al, 2014 - Optimization of Distributed Cogeneration System with solar district heating

### C

- Cano et al, 2014 - A strategic optimization model for energy systems planning
- Capuder and Mancarella, 2014 - Techno-economic and environmental modelling and optimization of flexible distributed multi-generation options
- Cardoso et al, 2013 - Microgrid reliability modeling and battery scheduling using stochastic linear programming
- Carvalho et al, 2011 - Optimal systhesis of trigeneration systems subject to environmental constraints
- Casisi et al, 2009 - Optimal lay-out and operation of combined heat and power (CHP) distribtued generation systems
- Casisi et al, 2015 - Effect of different economic support policies on the optimal systhesis and operation of a distribued energy supply system with renewable energy sources for an industrial area
- Chinese, 2008 - Optimal size and layout planning for district heating and cooling networks with distributed generation options
- Collazos et al, 2009 - Predictive optimal management method for the control of polygeneration systems
- Costa and Fichera, 2014 - A mixed-integer linear programming (MILP) model for the evaluation of CHP system in the context of hospital structures

### D

- DeForest et al, 2014 - Optimal deployment of thermal energy storage under diverse economic and climate conditions
- Dvorak and Havel, 2012 - Combined heat and power production planning under liberalized market conditions

### E

- Erdinc et al, 2015 - A new perspective for sizing of distributed generation and energy storage for smart households under demand response
- Erdinc, 2014 - Economic impacts of small-scale own generating and storage units, and electric vehicles under different demand response strategies for smart households
- Evins et al, 2014 - New formulations of the 'enrgy hub' model to address operational constraints

### F

- Fazlollahi and Marechal, 2013 - Multi-objective, multi-period optimization of biomass conversion technoogies using evolutionary algorithms and mixed integer linear programming (MILP)
- Fazlollahi et al, 2012 - Methods for multi-objective investment and operating optimization of complex energy systems
- Fazlollahi et al, 2014 - Multi-objectives, multi-period optimization of district energy systems: II. Daily thermal storage
- Fazlollahi et al, 2014 - Multi-objectives, multi-period optimization of district energy systems: III. Distribution networks
- Fazlollahi et al, 2015 - Multi-objective, multi-period optimization of district energy systems: IV - A case study
- Ferrer-Marti et al, 2013 - A MILP model to design hybrid wind-photovoltaic isolated rural electrification projects in developing countries

### F cont.

### G

- Gerber et al, 2013 - A systematic methodology for the environomic design and systehsis of energy systems combining process integration, Life Cycle Assessment and industrial ecology
- Girardin et al, 2010 - EnerGIS: A geographical information based system for the evaluation of integrated energy conversion systems in urban areas

### H

- Hadadian et al, 2015 - Optimal scheduling of distributed battery storage for enhncing the security and the economics of electric power systems with emission constraints
- Hafez and Bhattacharya, 2012 - Optimal planning and design of a renewable energy based supply system for microgrids
- Haikarainen et al, 2013 - An MILP Model for Distributed Energy System Optimization
- Harb et al, 2015 - MIP approach for designing heating systems in residential buildings and neighbourhoods
- Hashim et al, 2014 - Integrated biomass and solar town: Incorporation of load shifting and energy storage
- Hawkes and Leach, 2009 - Modelling high level system design and unit commitment for a microgrid
- Ho et al, 2014 - Grid-connected distributed energy generation system planning and scheduling
- Ho et al, 2014 - Integrated biomass and solar town concept for a smart eco-village in Iskandar Malaysia
- Holjevac et al, 2015 - Adaptive control for evaluation of flexibility benefits in microgrid systems
- Hu et al, 2015 - Energy Coordinative Optimization of Wind-Storage-Load Microgrids Based on Short-Term Prediction

### I

### J

### K

- Kavvadias et al, 2010 - Design of a combined heating, cooling and power system: Sizing, opertion strategy selection and parametric analysis
- Keirstead and Calderon, 2012 - Capturing spatial effects, technology interations, and uncertainty in urban energy and carbon models: Retrofitting newcastle as a case-study
- Keirstead et al, 2012 - Evaluating biomass energy strategies for a UK eco-town with an MILP optimization model
- Keirstead et al, 2012 - The impact of CHP planning restriction on the efficiency of urban energy systems
- Kjeldsen and Chiarandini, 2011 - Heuristic solutions to the long-term unit commitment problem with cogeneration plants
- Koltsaklis et al, 2014 - A spatial multi-period long-term energy planning model: A case study of the Greek power system
- Kopanos et al, 2013 - Energy production planning of a network of micro combined heat and power generators
- Kwok et al, 2013 - Microgrid Scheduling for Reliable, Cost-Effective, and Environmentally Friendly Energy Management

### L

- Liu et al, 2013 - An energy systems engineerign approach for the design and operation of microgrids in residential applications
- Lozano er al, 2009 - Structure optimization of energy supply systms in tertiary sector buildings
- Lozano er al, 2010 - Cost optimization of the design of CHCP (combined heat, cooling, and power) systems under legal constraints

### M

- Marcovecchio et al, 2014 - Deterministic optimization of the thermal Unit Commitment problem: A Branch and Cut search
- Mehleri et al, 2012 - A mathematical programming approach for optimal design of distributed enery systems at the neighbourhood level
- Mehleri et al, 2013 - Optimal design and operation of distribtued energy systems: Application to Greek residential sector
- Menon et al, 2013 - Study of optimal design of polygeneration systems in optimal control strategies
- Milan et al, 2015 - Modeling of non-linear CHP efficiency curves in distributed energy systems
- Morais et al, 2010 - Optimal scheduleing of a renewable micro-grid in an isolated load area using mixed-integer linear programming
- Moreno et al, 2015 - A MILP model for optimising multi-service portfolios of distributed energy storage

### N

### O

### O cont.

### P

- Pantaleo et al, 2014 - Integration of biomass into urban energy systems for heat and power. Part 1: An MILP based spatial optimization methodology
- Pazouki et al, 2014 - Uncertainty modeling in optimal operation of energy hub in presence of wind, storage, and demand response
- Perez-Fortes, 2012 - Design of regional and sustainanle bio-based networks for electricity generation using a milti-objective MILP approach
- Petruschke et al, 2014 - A hybrid approach for the efficient systhesis of renewable energy systems
- Piacentino et al, 2013 - A comprehensive tool for efficient design and operation of polygeneration-based energy microgrids serving a cluster of buildings. Part I: Description of the method

### R

- Ren and Gao, 2010 - A MILP model for integrated plan and evaluation of distributed energy system
- Ren et al, 2010 - Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects
- Rieder et al, 2014 - Multi-criteria dynamic design optimization of a small scale distributed energy system
- Rocha et al, 2015 - Improving energy efficiency via smart building energy management systems: A comparison with policy measures

### S

- Samsatli and Samsatli, 2015 - A general spatio-temporal model of energy systems with a detailed account of transport and storage
- Sandberg et al, 2012 - A new optional solution space based method for increased resolution in energy system optimisation
- Sharafi et al, 2015 - Optimal design of hybrid renewable energy systems in buildings with low to high renewable energy ratio
- Silvente et al, 2015 - Improved time representation model for the simultaneous energy supply and demand management in microgrids
- Soderman and Pettersson, 2006 - Structual and operational optimisation of distributed energy systems
- Stadler et al, 2011 - Control of greenhouse gas emissions by optimal DER technology investment and energy management in zero-net-energy buildings
- Stadler et al, 2013 - Electric storage in California's commercial buildings
- Stadler et al, 2014 - Optimizing Distributed Energy Resources and building retrofits with the strategic DER-CAModel
- Steen et al, 2015 - Modeling of thermal storage systems in MILP distributed energy resource models
- Stojiljkovic, 2014 - Multi-objective Combinatorial Optimization of Trigeneration Plants Based on Metaheuristics
- Stojiljkovic, 2015 - Greenhouse gases emission assessment in residential sector through buildings simulation and operation optimization

### V

### W

- Wakui and Yokoyama, 2015 - Impact analysis of sampling time interval and battery installation on optimal operational planning of residential cogeneration systems without electric power export
- Wakui and Yokoyama, 2015 - Optimal structural design of residential cogneration systems with battery based on improved solution method for mixed-integer linear programming
- Wakui et al, 2014 - A mixed-integer linear programming approach for cogeneration-based residential energy supply networks with power and heat interchanges
- Weber and Shah, 2011 - Optimisation based design of a district energy system for an eco-town in the United Kingdom
- Will-Haussmann et al, 2010 - Decentralised optimisation of cogeneration in virtual power plants
- Wouters et al, 2015 - An energy integrated, multi-microgrid, MIP approach for residential distributed energy system planning - A South Australian case-study

### Y

- Yang et al, 2013 - Mathematical programming formulations for non-smooth and non-convex electricity disptach problems
- Yang et al, 2015 - Optimal design of distributed energy resource systems coupled with energy distribution networks
- Yokohama et al, 2015 - Optimization of energy supply systems by MILP branch and bound method in consideration of hierarchical relationships between design and operation

### Z

- Zhang et al, 2013 - Efficient energy consumption and operation management in a smart building with microgrid
- Zhang et al, 2013 - Fair electricity transfer price and unit capacity selection for microgrids
- Zhou et al, 2013 - A two-stage stochastic programming model for the optimal design of distributed energy systems
- Zhou et al, 2013 - An engineering approach to the optimal design of distributed energy systems in China