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Control Design for an Energy-Sharing Module of Next-Generation Thermal Energy System ectogrid™

Korsell, Lisa and Ydén, Tuva (2021)
Department of Automatic Control
Abstract
Today, heat and electricity production are two main sources of greenhouse gas emissions. A big share of the overall energy consumption is used to provide buildings with heating and cooling. Smart-energy solutions of heating and cooling could therefore be a more sustainable solution contributing to the green transition of the energy system. ectogrid™ is a new generation of a cooperative heating and cooling network providing buildings with energy in an efficient way. Compared to traditional energy solution such a district heating and heat pump/chillers, ectogrid™ is a smart-energy solution utilizing low-temperature heat which is usually wasted.
Every building connected to ectogrid™ has its own production module equipped with a heat pump or... (More)
Today, heat and electricity production are two main sources of greenhouse gas emissions. A big share of the overall energy consumption is used to provide buildings with heating and cooling. Smart-energy solutions of heating and cooling could therefore be a more sustainable solution contributing to the green transition of the energy system. ectogrid™ is a new generation of a cooperative heating and cooling network providing buildings with energy in an efficient way. Compared to traditional energy solution such a district heating and heat pump/chillers, ectogrid™ is a smart-energy solution utilizing low-temperature heat which is usually wasted.
Every building connected to ectogrid™ has its own production module equipped with a heat pump or a chiller supplying the building with heating or cooling. To meet the required demand in the buildings and to maintain desired grid temperatures, the flow of water from the grid into each building is controlled using a circulation pump and control valve. The network consists of an interconnection of energy-sharing modules affecting each other, therefore it is of importance that the grid temperature lies within a defined temperature range for the network to work efficiently. Today, flow control into a module is currently done using a manually tuned PI-controllers. The objective of this thesis is to improve flow control into one energy-sharing module and to develop a method to tune the controllers for new buildings.
A simulation model over one energy-sharing module equipped with a heat pump was developed using Matlab Simulink®. The model was used as a pre-study for evaluating control tuning methods. Control performances were evaluated on the controller’s ability to reject disturbances affecting outgoing temperature as well as the overall stability. The result from the pre-study was used as support for controller testing in real buildings. This resulted in a generic way to tune new buildings connected to the grid, based on lambda-tuning method. The PI-controller is limited regarding disturbance rejection while maintaining stability. Therefore, the possibility to implement a feedforward was investigated using the simulation model. Since feedforward showed great potential in reducing the impact of disturbances this was suggested as a future outlook. (Less)
Please use this url to cite or link to this publication:
author
Korsell, Lisa and Ydén, Tuva
supervisor
organization
year
type
H3 - Professional qualifications (4 Years - )
subject
report number
TFRT-6131
other publication id
0280-5316
language
English
id
9049611
date added to LUP
2021-06-04 14:44:44
date last changed
2021-06-04 14:44:44
@misc{9049611,
  abstract     = {{Today, heat and electricity production are two main sources of greenhouse gas emissions. A big share of the overall energy consumption is used to provide buildings with heating and cooling. Smart-energy solutions of heating and cooling could therefore be a more sustainable solution contributing to the green transition of the energy system. ectogrid™ is a new generation of a cooperative heating and cooling network providing buildings with energy in an efficient way. Compared to traditional energy solution such a district heating and heat pump/chillers, ectogrid™ is a smart-energy solution utilizing low-temperature heat which is usually wasted.
Every building connected to ectogrid™ has its own production module equipped with a heat pump or a chiller supplying the building with heating or cooling. To meet the required demand in the buildings and to maintain desired grid temperatures, the flow of water from the grid into each building is controlled using a circulation pump and control valve. The network consists of an interconnection of energy-sharing modules affecting each other, therefore it is of importance that the grid temperature lies within a defined temperature range for the network to work efficiently. Today, flow control into a module is currently done using a manually tuned PI-controllers. The objective of this thesis is to improve flow control into one energy-sharing module and to develop a method to tune the controllers for new buildings.
A simulation model over one energy-sharing module equipped with a heat pump was developed using Matlab Simulink®. The model was used as a pre-study for evaluating control tuning methods. Control performances were evaluated on the controller’s ability to reject disturbances affecting outgoing temperature as well as the overall stability. The result from the pre-study was used as support for controller testing in real buildings. This resulted in a generic way to tune new buildings connected to the grid, based on lambda-tuning method. The PI-controller is limited regarding disturbance rejection while maintaining stability. Therefore, the possibility to implement a feedforward was investigated using the simulation model. Since feedforward showed great potential in reducing the impact of disturbances this was suggested as a future outlook.}},
  author       = {{Korsell, Lisa and Ydén, Tuva}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Control Design for an Energy-Sharing Module of Next-Generation Thermal Energy System ectogrid™}},
  year         = {{2021}},
}