City-scale decarbonization experiments with integrated energy systems

Decarbonization of electricity generation together with electrification of energy-and-carbon-intensive services such as heating and cooling is needed to address ambitious climate goals. Urban energy centers are a prime target for these efforts.

[1]  Fariborz Haghighat,et al.  Optimization approaches in district heating and cooling thermal network , 2017 .

[2]  Brian Elmegaard,et al.  Integration of large-scale heat pumps in the district heating systems of Greater Copenhagen , 2016 .

[3]  Pierluigi Mancarella,et al.  Energy Systems Integration in Smart Districts: Robust Optimisation of Multi-Energy Flows in Integrated Electricity, Heat and Gas Networks , 2019, IEEE Transactions on Smart Grid.

[4]  Bernd Möller,et al.  Heat Roadmap Europe: Combining district heating with heat savings to decarbonise the EU energy system , 2014 .

[5]  Henrik Madsen,et al.  Economic valuation of heat pumps and electric boilers in the Danish energy system , 2016 .

[6]  I. Grossmann,et al.  New continuous-time scheduling formulation for continuous plants under variable electricity cost , 2009 .

[7]  Ana Busic,et al.  Ancillary Service to the Grid Using Intelligent Deferrable Loads , 2014, IEEE Transactions on Automatic Control.

[8]  S. Joe Qin,et al.  A survey of industrial model predictive control technology , 2003 .

[9]  Iain Dunning,et al.  JuMP: A Modeling Language for Mathematical Optimization , 2015, SIAM Rev..

[10]  WATCH , 2004 .

[11]  M. A. Cameron,et al.  Matching demand with supply at low cost in 139 countries among 20 world regions with 100% intermittent wind, water, and sunlight (WWS) for all purposes , 2018, Renewable Energy.

[12]  Brian Vad Mathiesen,et al.  Energy system analysis of 100% renewable energy systems-The case of Denmark in years 2030 and 2050 , 2009 .

[13]  P. Ekins,et al.  Hydrogen and fuel cell technologies for heating: A review , 2015 .

[14]  Marta C. González,et al.  Planning for electric vehicle needs by coupling charging profiles with urban mobility , 2018 .

[15]  Sven Werner,et al.  District heating and cooling in Sweden , 2017 .

[16]  Goran Strbac,et al.  Harnessing Flexibility from Hot and Cold: Heat Storage and Hybrid Systems Can Play a Major Role , 2017, IEEE Power and Energy Magazine.

[17]  Ignacio E. Grossmann,et al.  Air separation with cryogenic energy storage: Optimal scheduling considering electric energy and reserve markets , 2015 .

[18]  Goran Strbac,et al.  Energy Systems Integration. Defining and Describing the Value Proposition , 2016 .

[19]  Rasmus Søgaard Lund,et al.  Socioeconomic potential for introducing large-scale heat pumps in district heating in Denmark , 2016 .

[20]  Erik Dotzauer,et al.  Simple model for prediction of loads in district-heating systems , 2002 .

[21]  Lang Tong,et al.  Modeling and Stochastic Control for Home Energy Management , 2013, IEEE Transactions on Smart Grid.

[22]  P. Rhodes Administration. , 1933, Teachers College Record: The Voice of Scholarship in Education.

[23]  Marc A. Rosen,et al.  District heating and cooling: Review of technology and potential enhancements , 2012 .

[24]  Brian Vad Mathiesen,et al.  4th Generation District Heating (4GDH) Integrating smart thermal grids into future sustainable energy systems , 2014 .

[25]  Jonas Allegrini,et al.  A review of modelling approaches and tools for the simulation of district-scale energy systems , 2015 .

[26]  Peter Palensky,et al.  Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads , 2011, IEEE Transactions on Industrial Informatics.

[27]  Ignacio E. Grossmann,et al.  Optimal production planning under time-sensitive electricity prices for continuous power-intensive processes , 2012, Comput. Chem. Eng..

[28]  Warren B. Powell,et al.  Adaptive Stochastic Control for the Smart Grid , 2011, Proceedings of the IEEE.

[29]  Jihong Wang,et al.  Overview of current development in electrical energy storage technologies and the application potential in power system operation , 2015 .

[30]  Johanna L. Mathieu,et al.  Quantifying Changes in Building Electricity Use, With Application to Demand Response , 2011, IEEE Transactions on Smart Grid.

[31]  Hui Li,et al.  Increasing the Flexibility of Combined Heat and Power for Wind Power Integration in China: Modeling and Implications , 2015, IEEE Transactions on Power Systems.

[32]  M. Webber,et al.  The impacts of storing solar energy in the home to reduce reliance on the utility , 2017, Nature Energy.

[33]  Valerie J. Karplus,et al.  Modelling the potential for wind energy integration on China’s coal-heavy electricity grid , 2016, Nature Energy.

[34]  Duncan S. Callaway,et al.  Arbitraging Intraday Wholesale Energy Market Prices With Aggregations of Thermostatic Loads , 2015, IEEE Transactions on Power Systems.

[35]  Goran Strbac,et al.  Demand side management: Benefits and challenges ☆ , 2008 .

[36]  Sven Werner,et al.  International review of district heating and cooling , 2017 .

[37]  M. A. Cameron,et al.  100% clean and renewable Wind, Water, and Sunlight (WWS) all-sector energy roadmaps for 53 towns and cities in North America , 2018, Sustainable Cities and Society.

[38]  Chongqing Kang,et al.  Reducing curtailment of wind electricity in China by employing electric boilers for heat and pumped hydro for energy storage , 2016 .

[39]  Gang Liu,et al.  Modeling of district load forecasting for distributed energy system , 2017 .

[40]  S. Ashok,et al.  Peak-load management in steel plants , 2006 .

[41]  M. A. Cameron,et al.  Low-cost solution to the grid reliability problem with 100% penetration of intermittent wind, water, and solar for all purposes , 2015, Proceedings of the National Academy of Sciences.

[42]  Pierluigi Mancarella,et al.  Distributed multi-generation: A comprehensive view , 2009 .

[43]  Thomas Nuytten,et al.  Flexibility of a combined heat and power system with thermal energy storage for district heating , 2013 .

[44]  M. Miller Agency , 2010 .

[45]  Willett Kempton,et al.  Vehicle-to-grid power implementation: From stabilizing the grid to supporting large-scale renewable energy , 2005 .

[46]  Adam Hawkes,et al.  The future cost of electrical energy storage based on experience rates , 2017, Nature Energy.

[47]  Vaclav Smil,et al.  Perils of Long-Range Energy Forecasting , 2000 .

[48]  A. Majumdar,et al.  Opportunities and challenges for a sustainable energy future , 2012, Nature.

[49]  E. Lannoye,et al.  Evaluation of Power System Flexibility , 2012, IEEE Transactions on Power Systems.

[50]  Rasmus Søgaard Lund,et al.  Mapping of potential heat sources for heat pumps for district heating in Denmark , 2016 .

[51]  S.E. Widergren,et al.  Modeling uncertainties in aggregated thermostatically controlled loads using a State queueing model , 2005, IEEE Transactions on Power Systems.

[52]  Duncan S. Callaway,et al.  Experimental Demonstration of Frequency Regulation by Commercial Buildings—Part I: Modeling and Hierarchical Control Design , 2016, IEEE Transactions on Smart Grid.

[53]  Rafael Waters,et al.  Net load variability in Nordic countries with a highly or fully renewable power system , 2016, Nature Energy.

[54]  U. Persson,et al.  Heat distribution and the future competitiveness of district heating , 2011 .

[55]  Kara Clark,et al.  Alternatives No More: Wind and Solar Power Are Mainstays of a Clean, Reliable, Affordable Grid , 2015, IEEE Power and Energy Magazine.

[56]  Paul L. Joskow,et al.  Creating a Smarter U.S. Electricity Grid , 2012 .

[57]  M. Kintner-Meyer,et al.  Optimal control of an HVAC system using cold storage and building thermal capacitance , 1995 .

[58]  Brian Vad Mathiesen,et al.  Smart Energy Systems for coherent 100% renewable energy and transport solutions , 2015 .

[59]  Ian A. Hiskens,et al.  Achieving Controllability of Electric Loads , 2011, Proceedings of the IEEE.

[60]  William D'haeseleer,et al.  Integrated modeling of active demand response with electric heating systems coupled to thermal energy storage systems , 2015 .

[61]  Goran Strbac,et al.  Decentralized Control of Thermostatic Loads for Flexible Demand Response , 2015, IEEE Transactions on Control Systems Technology.

[62]  Benjamin F. Hobbs,et al.  The Evolution of the Market: Designing a Market for High Levels of Variable Generation , 2015, IEEE Power and Energy Magazine.

[63]  J. Widén,et al.  Sensitivity of district heating system operation to heat demand reductions and electricity price variations: A Swedish example , 2012 .

[64]  Daniel M. Kammen,et al.  Energy storage deployment and innovation for the clean energy transition , 2017, Nature Energy.

[65]  Gabriela Hug,et al.  Impact of Disturbances on Modeling of Thermostatically Controlled Loads for Demand Response , 2015, IEEE Transactions on Smart Grid.

[66]  Johanna L. Mathieu,et al.  State Estimation and Control of Electric Loads to Manage Real-Time Energy Imbalance , 2013 .

[67]  Olof M. Jarvegren,et al.  Pacific Northwest GridWise™ Testbed Demonstration Projects; Part I. Olympic Peninsula Project , 2008 .