What if we never run out of oil? From certainty of “peak oil” to “peak demand”

2022 ◽  
Vol 85 ◽  
pp. 102407
Author(s):  
Krista Halttunen ◽  
Raphael Slade ◽  
Iain Staffell
Keyword(s):  
Peak Oil ◽  
Peak Demand

Energy After COVID

2020 ◽  
Vol 119 (820) ◽  
pp. 317-322
Author(s):  
Michael T. Klare
Keyword(s):  
Renewable Energy ◽  
Electric Vehicles ◽  
Fossil Fuels ◽  
Fossil Fuel ◽  
White Collar ◽  
Peak Oil ◽  
Business Travel ◽  
Reduce Energy Consumption ◽  
The Cost ◽  
Energy Companies

By transforming patterns of travel and work around the world, the COVID-19 pandemic is accelerating the transition to renewable energy and the decline of fossil fuels. Lockdowns brought car commuting and plane travel to a near halt, and the mass experiment in which white-collar employees have been working from home may permanently reduce energy consumption for business travel. Renewable energy and electric vehicles were already gaining market share before the pandemic. Under pressure from investors, major energy companies have started writing off fossil fuel reserves as stranded assets that are no longer worth the cost of extracting. These shifts may indicate that “peak oil demand” has arrived earlier than expected.

An Evaluation of Control Parameters for Load Fluctuation Compensation by Battery Control Aimed at Reducing Peak Demand for a Building

2015 ◽  
Vol 135 (1) ◽  
pp. 71-77
Author(s):  
Takayuki Sugimoto ◽  
Eisuke Shimoda ◽  
Toshihiro Yamane ◽  
Shigeo Numata
Keyword(s):  
Control Parameters ◽  
Peak Demand ◽  
Load Fluctuation

THE URBAN MIGRANT FUTURE DESIRE: A STUDY OF REVERSE MIGRATION IN MALAYSIA

2017 ◽  
Vol 3 (2) ◽  
pp. 177
Author(s):  
Nur Huzeima Mohd Hussain ◽  
Hugh Byrd ◽  
Nur Azfahani Ahmad
Keyword(s):  
Oil And Gas ◽  
Industrial Society ◽  
Peak Oil ◽  
Population Mobility ◽  
Reverse Migration ◽  
The Past ◽  
Urban Migrants ◽  
Urban Migrant ◽  
Oil Crisis

Globalisation combined with resources of oil and gas has led to an industrial society in Malaysia.  For the past 30 years, rapid urban growth has shifted from 73% rural to 73% urban population. However, the peak oil crisis and economic issues are threatening the growth of urbanisation and influencing the trends of population mobility. This paper documents the beginnings of a reverse migration (urban-to-rural) in Malaysia.  The method adopted case study that involves questionnaires with the urban migrants to establish the desires, definite intentions and reasons for future migration. Based on this data, it predicts a trend and rate of reverse migration in Malaysia. 

Stochastic framework for peak demand reduction opportunities with solar energy for manufacturing facilities

2021 ◽  
pp. 127891
Author(s):  
Miguel A. Peinado-Guerrero ◽  
Jesus R. Villalobos ◽  
Patrick E. Phelan ◽  
Nicolas A. Campbell
Keyword(s):  
Solar Energy ◽  
Peak Demand ◽  
Demand Reduction ◽  
Stochastic Framework ◽  
Manufacturing Facilities

scholarly journals Optimal Control Strategies for Switchable Transparent Insulation Systems Applied to Smart Windows for US Residential Buildings

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2917
Author(s):  
Mohammad Dabbagh ◽  
Moncef Krarti
Keyword(s):  
Energy Use ◽  
Control Strategies ◽  
Residential Buildings ◽  
Residential Building ◽  
Optimization Approach ◽  
Optimal Controls ◽  
Peak Demand ◽  
Smart Windows ◽  
Insulation Systems ◽  
Rule Set

This paper evaluates the potential energy use and peak demand savings associated with optimal controls of switchable transparent insulation systems (STIS) applied to smart windows for US residential buildings. The optimal controls are developed based on Genetic Algorithm (GA) to identify the automatic settings of the dynamic shades. First, switchable insulation systems and their operation mechanisms are briefly described when combined with smart windows. Then, the GA-based optimization approach is outlined to operate switchable insulation systems applied to windows for a prototypical US residential building. The optimized controls are implemented to reduce heating and cooling energy end-uses for a house located four US locations, during three representative days of swing, summer, and winter seasons. The performance of optimal controller is compared to that obtained using simplified rule-based control sets to operate the dynamic insulation systems. The analysis results indicate that optimized controls of STISs can save up to 81.8% in daily thermal loads compared to the simplified rule-set especially when dwellings are located in hot climates such as that of Phoenix, AZ. Moreover, optimally controlled STISs can reduce electrical peak demand by up to 49.8% compared to the simplified rule-set, indicating significant energy efficiency and demand response potentials of the SIS technology when applied to US residential buildings.

scholarly journals Model Predictive Control Strategies to Activate the Energy Flexibility for Zones with Hydronic Radiant Systems

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1195
Author(s):  
Ali Saberi Derakhtenjani ◽  
Andreas K. Athienitis
Keyword(s):  
Control Strategies ◽  
High Price ◽  
Electricity Prices ◽  
Peak Demand ◽  
Heating Systems ◽  
Electrical Grid ◽  
Demand Reduction ◽  
The Cost ◽  
Floor System ◽  
Radiant Floor Heating

This paper presents control strategies to activate energy flexibility for zones with radiant heating systems in response to changes in electricity prices. The focus is on zones with radiant floor heating systems for which the hydronic pipes are located deep in the concrete and, therefore, there is a significant thermal lag. A perimeter zone test-room equipped with a hydronic radiant floor system in an environmental chamber is used as a case study. A low order thermal network model for the perimeter zone, validated with experimental measurements, is utilized to study various control strategies in response to changes in the electrical grid price signal, including short term (nearly reactive) changes of the order of 10–15 min notice. An index is utilized to quantify the building energy flexibility with the focus on peak demand reduction for specific periods of time when the electricity prices are higher than usual. It is shown that the developed control strategies can aid greatly in enhancing the zone energy flexibility and minimizing the cost of electricity and up to 100% reduction in peak power demand and energy consumption is attained during the high-price and peak-demand periods, while maintaining acceptable comfort conditions.

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