The implementation of discrete demand management algorithms within energy systems modelling

Research output: Contribution to conferencePaper

Abstract

Traditionally, demand side management (DSM) programs have been driven by utilities. With the prospect of growth in the utilization of building-integrated micro-generation, DSM offers opportunities for additional energy savings and CO2 emission reductions through better utilisation of local renewable energy resources. This paper examines the feasibility of using discreet demand management (DDM) to improve the supply/demand match.
For many combinations of micro-generation and DDM controls, it is necessary to know the environmental conditions (i.e. temperatures and lighting levels) within the buildings being modelled. One method would be to embed all the renewable energy technologies and DDM algorithms within a detailed simulation program. An alternative method, investigated in this study, involves coupling two existing tools: a dynamic building simulation program (ESP-r) and a demand/supply matching program (MERIT) that incorporates DDM algorithms and renewable energy system technologies. These two programs interact at the time-step level and exchange calculated parameters (relating to loads, supply potentials and prevailing environmental conditions) to enable an evaluation of DDM techniques in terms of energy saving and occupant impact. This paper describes the technique and presents simulation results relating to a number of building cases.

Other

Other2nd International Conference in Microgeneration and Related Technologies, Glasgow April 4-6 2011
Period31/03/11 → …

Fingerprint

System Modeling
Energy
Renewable Energy
Energy conservation
Renewable energy resources
Energy Saving
Lighting
Demand
Simulation
Resources
Necessary
Alternatives
Temperature
Evaluation
Demand side management

Keywords

  • implementation
  • discrete
  • demand management
  • algorithms
  • energy systems modelling

Cite this

Clarke, J. A., Hong, J., Johnstone, C., & Kelly, N. (2011). The implementation of discrete demand management algorithms within energy systems modelling. Paper presented at 2nd International Conference in Microgeneration and Related Technologies, Glasgow April 4-6 2011, .
Clarke, Joseph Andrew ; Hong, Jun ; Johnstone, Cameron ; Kelly, Nicolas. / The implementation of discrete demand management algorithms within energy systems modelling. Paper presented at 2nd International Conference in Microgeneration and Related Technologies, Glasgow April 4-6 2011, .6 p.
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author = "Clarke, {Joseph Andrew} and Jun Hong and Cameron Johnstone and Nicolas Kelly",
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note = "2nd International Conference in Microgeneration and Related Technologies, Glasgow April 4-6 2011 ; Conference date: 31-03-2011",

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Clarke, JA, Hong, J, Johnstone, C & Kelly, N 2011, 'The implementation of discrete demand management algorithms within energy systems modelling' Paper presented at 2nd International Conference in Microgeneration and Related Technologies, Glasgow April 4-6 2011, 31/03/11, .

The implementation of discrete demand management algorithms within energy systems modelling. / Clarke, Joseph Andrew; Hong, Jun; Johnstone, Cameron; Kelly, Nicolas.

2011. Paper presented at 2nd International Conference in Microgeneration and Related Technologies, Glasgow April 4-6 2011, .

Research output: Contribution to conferencePaper

TY - CONF

T1 - The implementation of discrete demand management algorithms within energy systems modelling

AU - Clarke, Joseph Andrew

AU - Hong, Jun

AU - Johnstone, Cameron

AU - Kelly, Nicolas

PY - 2011/4/4

Y1 - 2011/4/4

N2 - Traditionally, demand side management (DSM) programs have been driven by utilities. With the prospect of growth in the utilization of building-integrated micro-generation, DSM offers opportunities for additional energy savings and CO2 emission reductions through better utilisation of local renewable energy resources. This paper examines the feasibility of using discreet demand management (DDM) to improve the supply/demand match.For many combinations of micro-generation and DDM controls, it is necessary to know the environmental conditions (i.e. temperatures and lighting levels) within the buildings being modelled. One method would be to embed all the renewable energy technologies and DDM algorithms within a detailed simulation program. An alternative method, investigated in this study, involves coupling two existing tools: a dynamic building simulation program (ESP-r) and a demand/supply matching program (MERIT) that incorporates DDM algorithms and renewable energy system technologies. These two programs interact at the time-step level and exchange calculated parameters (relating to loads, supply potentials and prevailing environmental conditions) to enable an evaluation of DDM techniques in terms of energy saving and occupant impact. This paper describes the technique and presents simulation results relating to a number of building cases.

AB - Traditionally, demand side management (DSM) programs have been driven by utilities. With the prospect of growth in the utilization of building-integrated micro-generation, DSM offers opportunities for additional energy savings and CO2 emission reductions through better utilisation of local renewable energy resources. This paper examines the feasibility of using discreet demand management (DDM) to improve the supply/demand match.For many combinations of micro-generation and DDM controls, it is necessary to know the environmental conditions (i.e. temperatures and lighting levels) within the buildings being modelled. One method would be to embed all the renewable energy technologies and DDM algorithms within a detailed simulation program. An alternative method, investigated in this study, involves coupling two existing tools: a dynamic building simulation program (ESP-r) and a demand/supply matching program (MERIT) that incorporates DDM algorithms and renewable energy system technologies. These two programs interact at the time-step level and exchange calculated parameters (relating to loads, supply potentials and prevailing environmental conditions) to enable an evaluation of DDM techniques in terms of energy saving and occupant impact. This paper describes the technique and presents simulation results relating to a number of building cases.

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KW - demand management

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M3 - Paper

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Clarke JA, Hong J, Johnstone C, Kelly N. The implementation of discrete demand management algorithms within energy systems modelling. 2011. Paper presented at 2nd International Conference in Microgeneration and Related Technologies, Glasgow April 4-6 2011, .