Supplemental Material for Advertising Energy Saving Programs: The Potential Environmental Cost of Emphasizing Monetary Savings

2015 ◽  
Vol 21 (2) ◽  
pp. 158-166 ◽  
Author(s):  
Daniel Schwartz ◽  
Wändi Bruine de Bruin ◽  
Baruch Fischhoff ◽  
Lester Lave

2019 ◽  
Author(s):  
J. E. Buckingham ◽  
D. R. Pearson ◽  
E Storey

This paper presents the approach taken to develop and align a parametric ship model to metocean data and known ship performance data measured at sea, and the use of this aligned baseline model in conjunction with first principle models of wind-based Energy Saving Technologies (EST) to derive the benefit of such technologies over specific voyages. The EST compared in this paper are: • Flettner rotors • Wingsails • Turbosails A specific voyage conditions are studied for a given ship in order to provide a broad and representative range of seagoing conditions for the vessel, with the model then being used to derive the relative fuel savings from the EST. This output can then be run-through a techno-economic analysis to derive the monetary savings and inform a potential business case for installation of such EST. The vessel presented in this paper is a 61,000 dwt bulker, which has served as a demonstrator vessel in previous BMT publications and is a well understood baseline for comparison.


2001 ◽  
Vol 32 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Gerrit Antonides ◽  
Sophia R. Wunderink

Summary: Different shapes of individual subjective discount functions were compared using real measures of willingness to accept future monetary outcomes in an experiment. The two-parameter hyperbolic discount function described the data better than three alternative one-parameter discount functions. However, the hyperbolic discount functions did not explain the common difference effect better than the classical discount function. Discount functions were also estimated from survey data of Dutch households who reported their willingness to postpone positive and negative amounts. Future positive amounts were discounted more than future negative amounts and smaller amounts were discounted more than larger amounts. Furthermore, younger people discounted more than older people. Finally, discount functions were used in explaining consumers' willingness to pay for an energy-saving durable good. In this case, the two-parameter discount model could not be estimated and the one-parameter models did not differ significantly in explaining the data.


2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.


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