Related Experiment Videos
Informed public choices for low-carbon electricity portfolios using a computer decision tool
Lauren A Fleishman Mayer1, Wändi Bruine de Bruin, M Granger Morgan
1RAND Corporation, 4570 Fifth Avenue, Suite 600, Pittsburgh, Pennsylvania 15213, United States.
Environmental Science & Technology
|February 26, 2014
Summary
Developing an interactive computer tool helped nonexperts understand trade-offs between low-carbon electricity technologies. This tool supports informed decision-making for achieving a low-carbon energy future by presenting data on CO2 emissions, costs, and environmental impacts.
Area of Science:
- Environmental science
- Energy policy
- Human-computer interaction
Background:
- Reducing carbon dioxide (CO2) emissions is crucial for the electricity sector.
- Public discourse and citizen understanding of low-carbon electricity technologies are vital for effective policy development.
- Previous studies used paper-and-pencil methods to explore public understanding of energy trade-offs.
Purpose of the Study:
- To develop and evaluate an interactive computer tool designed to help nonexperts make informed decisions about low-carbon electricity generation technologies.
- To assess the usability and effectiveness of the tool in presenting comparative information on electricity technologies and their impacts.
Main Methods:
- Developed an interactive computer tool presenting information on 10 electricity technologies.
- Conducted a usability study where participants designed low-carbon electricity portfolios using the tool.
- Constrained portfolio designs for realism and low CO2 emissions, with real-time updates on CO2, cost, and environmental impacts.
Main Results:
- Most participants designed diverse portfolios including energy efficiency, nuclear, coal with carbon capture and sequestration, natural gas, and wind.
- Participants demonstrated understanding of the tool and used it consistently.
- The tool successfully updated information on projected CO2 emissions, electricity costs, and environmental impacts as portfolios were modified.
Conclusions:
- The interactive computer tool is a viable method for educating nonexperts on the complexities of low-carbon energy futures.
- The tool facilitates informed decision-making and engagement in public discourse regarding electricity generation technologies.
- The tool is available for download to support public understanding of energy challenges.
Related Concept Videos
Decision Making: P-value Method
5.8K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.8K
Fast Decoupled and DC Powerflow
961
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
961
Maximum Power Flow and Line Loadability
777
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
777
Decision Making: Traditional Method
4.4K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.4K
Electrical Power
3.1K
Electric power is the product of current and voltage, represented in units of joules per second, or watts. For example, cars often have one or more auxiliary power outlets with which you can charge a cell phone or other electronic devices. These outlets may be rated at 20 amps and 12 volts, so that the circuit can deliver a maximum power of 240 watts. Consider a 25 Watt bulb and a 60 Watt bulb. The conversion of electrical energy produces heat and light, while the kinetic energy lost by the...
3.1K
Energy Budgets
9.8K
Organisms must balance energy intake with the energy required for growth, maintenance and reproduction. These trade-offs result in a variety of survivorship and reproductive strategies, including semelparity and iteroparity. Semelparous species, like annual plants, have only one reproductive episode in their lifetimes and consequently have short lifespans. Iteroparous species, by contrast, have many reproductive events during their lifetimes but have relatively few offspring. These two...
9.8K