Industrial response to time-of-day pricing: a technical and economic assessment of specific load-management strategies. Final report

Valuation of travel time and departure time choice in the presence of time-of-day pricing

Transportation Research Part A Policy and Practice ◽

10.1016/j.tra.2007.12.002 ◽

2008 ◽

Vol 42 (4) ◽

pp. 577-590 ◽

Cited By ~ 7

Author(s):

Kaan Ozbay ◽

Ozlem Yanmaz-Tuzel

Keyword(s):

Travel Time ◽

Time Of Day ◽

Departure Time ◽

Departure Time Choice ◽

Time Of Day Pricing

Time of day pricing and its multi-dimensional impacts: A stated preference analysis

Transportation Research Part A Policy and Practice ◽

10.1016/j.tra.2013.08.003 ◽

2013 ◽

Vol 55 ◽

pp. 12-26 ◽

Cited By ~ 2

Author(s):

José Holguín-Veras ◽

Brandon Allen

Keyword(s):

Stated Preference ◽

Time Of Day ◽

Preference Analysis ◽

Time Of Day Pricing

Time-of-day pricing of electrical energy: does it promote the National interest

10.2172/6759703 ◽

1977 ◽

Author(s):

A L Berlad ◽

F J Salzano ◽

R J Hoppe ◽

J Batey

Keyword(s):

National Interest ◽

Electrical Energy ◽

Time Of Day ◽

Time Of Day Pricing

High-intensity drying processes -- Impulse drying: Report 15 (final report). Production of linerboard on a pilot paper machine, subsequent commercial converting trials and preliminary economic assessment

10.2172/362520 ◽

1999 ◽

Cited By ~ 1

Author(s):

D.I. Orloff

Keyword(s):

High Intensity ◽

Economic Assessment ◽

Final Report ◽

Paper Machine ◽

Impulse Drying

Insight into demand response and photovoltaic source with Time of Day pricing

PES T&D 2012 ◽

10.1109/tdc.2012.6281649 ◽

2012 ◽

Cited By ~ 5

Author(s):

Christian Genao ◽

Aaron St. Leger

Keyword(s):

Demand Response ◽

Time Of Day ◽

Time Of Day Pricing ◽

Insight Into

Load management strategies for redundant equipment in smart grids

2018 6th International Istanbul Smart Grids and Cities Congress and Fair (ICSG) ◽

10.1109/sgcf.2018.8408944 ◽

2018 ◽

Author(s):

V. V. Samoylenko ◽

I. V. Samoylenko ◽

V. V. Fedorenko ◽

W. S. Azab

Keyword(s):

Smart Grids ◽

Management Strategies ◽

Load Management

Review of peak load management strategies in commercial buildings

Sustainable Cities and Society ◽

10.1016/j.scs.2021.103493 ◽

2021 ◽

pp. 103493

Author(s):

Darwish Darwazeh ◽

Jean Duquette ◽

Burak Gunay ◽

Ian Wilton ◽

Scott Shillinglaw

Keyword(s):

Management Strategies ◽

Peak Load ◽

Commercial Buildings ◽

Load Management

Model of rice (Oryza sativa) yield reduction as a function of weed interference

Weed Science ◽

10.1017/s0043174500092742 ◽

1997 ◽

Vol 45 (2) ◽

pp. 218-224 ◽

Cited By ~ 21

Author(s):

Karl W. VanDevender ◽

Thomas A. Costello ◽

Roy J. Smith

Keyword(s):

Weed Management ◽

Management Strategies ◽

Economic Assessment ◽

Richards Equation ◽

Yield Reduction ◽

Published Data ◽

Weed Species ◽

Individual Parameter ◽

Alternative Weed Control ◽

Parameter Values

Economic assessment of weed management strategies in rice is dependent upon a quantitative estimate of the yield impact of a given weed population. To assist rice producers in making such assessments, a mathematical model was developed to predict rice yield reduction as a function of weed density and duration of interference. The nonlinear empirical model was a unique 3-dimensional adaptation of the Richards equation with 4 parameters. Using published data, individual parameter values were fitted for each of 6 weed species interfering with either conventional or semi-dwarf statured rice cultivars. The functional form of the equation produced surfaces that were qualitatively consistent with available data and experience regarding rice-weed biology. Hence, predictions from the model should be useful and reliable in assessing the economic impact of weeds and in determining the feasibility of alternative weed control treatments for various field scenarios.

Load Management Strategies to Increase Electric Vehicle Penetration—Case Study on a Local Distribution Network in Stockholm

Energies ◽

10.3390/en13184809 ◽

2020 ◽

Vol 13 (18) ◽

pp. 4809

Author(s):

Monika Topel ◽

Josefine Grundius

Keyword(s):

Electric Vehicle ◽

Electric Vehicles ◽

Management Strategies ◽

Electricity Sector ◽

Limiting Factors ◽

Transport Sector ◽

Load Management ◽

Distribution Grid ◽

Integration Of Renewables ◽

The Impact

As part of decarbonization efforts, countries are adapting their energy policies accordingly. Sweden has established ambitious energy goals, which include CO2 emissions reduction in the transport sector and high integration of renewables in the electricity sector. Coupling the two can be an enabling force towards fossil freedom. An increased share of electric vehicles is therefore a promising solution in this regard. However, there are challenges concerning the impact that a surge of electric vehicles would have on the electric infrastructure. Moreover, in Stockholm there is a shortage of power capacity due to limitations in the national transmission infrastructure, which further aggravates the situation. This paper develops a scenario-based simulation study to evaluate the impact of electric vehicle loads on the distribution grid of a Stockholm neighborhood. In this process, limiting factors and bottlenecks in the network were identified as being related to the peak power and transformer capacities for the years of 2025 and 2031. Two load management strategies and their potential to mitigate the power peaks generated from uncontrolled charging were investigated for the critical years.

Reducing the Operational Cost of Cloud Data Centers through Renewable Energy

Algorithms ◽

10.3390/a11100145 ◽

2018 ◽

Vol 11 (10) ◽

pp. 145 ◽

Cited By ~ 8

Author(s):

Demetrio Laganà ◽

Carlo Mastroianni ◽

Michela Meo ◽

Daniela Renga

Keyword(s):

Renewable Energy ◽

Data Centers ◽

Virtual Machines ◽

Renewable Energy Sources ◽

Management Strategies ◽

Production Performance ◽

Load Management ◽

Cloud Data ◽

Operational Costs ◽

Allocation Process

The success of cloud computing services has led to big computing infrastructures that are complex to manage and very costly to operate. In particular, power supply dominates the operational costs of big infrastructures, and several solutions have to be put in place to alleviate these operational costs and make the whole infrastructure more sustainable. In this paper, we investigate the case of a complex infrastructure composed of data centers (DCs) located in different geographical areas in which renewable energy generators are installed, co-located with the data centers, to reduce the amount of energy that must be purchased by the power grid. Since renewable energy generators are intermittent, the load management strategies of the infrastructure have to be adapted to the intermittent nature of the sources. In particular, we consider EcoMultiCloud , a load management strategy already proposed in the literature for multi-objective load management strategies, and we adapt it to the presence of renewable energy sources. Hence, cost reduction is achieved in the load allocation process, when virtual machines (VMs) are assigned to a data center of the considered infrastructure, by considering both energy cost variations and the presence of renewable energy production. Performance is analyzed for a specific infrastructure composed of four data centers. Results show that, despite being intermittent and highly variable, renewable energy can be effectively exploited in geographical data centers when a smart load allocation strategy is implemented. In addition, the results confirm that EcoMultiCloud is very flexible and is suited to the considered scenario.