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Technology Assessment: Demand Response Technologies in the Pacific Northwest

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Part of the book series: Innovation, Technology, and Knowledge Management ((ITKM))

Abstract

The goal of this research is to develop a decision model that can be used to identify the technology transfer potential of a research proposal. An organization can use the model to select the proposals whose research outcomes are more likely to move into application. The model begins to close the chasm between research and application – otherwise known as the “valley of death.” A hierarchical decision model, along with desirability curves, was used to understand the complexities of the researcher and recipient relationship, specific to technology transfer. In this research, the evaluation criteria of several research organizations were assessed to understand the extent to which the success attributes that were identified in literature were considered when reviewing research proposals. The quantified model was validated using a case study involving demand response (DR) technology proposals in the Pacific Northwest.

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Authors and Affiliations

Authors

Corresponding author

Correspondence to Tugrul U. Daim .

Editor information

Editors and Affiliations

Appendix

Appendix

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Success attributes for case studies

Attributes of research proposals

Organizational

Success attributes

Units of measurement

Proposal 1

Proposal 2

Proposal 3

Proposal 4

Budget cost-share

% cost share required to fund research

62%

50%

50%

50%

Geographic proximity

Proximity between research and recipient

250–1500 mile separation

250–1500 mile separation

250–1500 mile separation

1500–3000 mile separation

Average time to contract

Average time to execute a contract

4 months

1.5 months

1.5 months

4 months

Technical and stakeholder complexity

# of technical characteristics identified in proposal and # of impacted stakeholders

2 technology characteristics and 3 stakeholders

1 technology characteristic and 3 stakeholders

2 technology characteristics and 7 stakeholders

5 technology characteristics and 2 stakeholder

Social

Diversity events

# of diversity events to create cultural awareness

0

0

Recommended

0

Personnel dedicated to support TT

# of people dedicated to support TT

0.5

0.5

0

1

Project meetings

# of comms described in the comm project plan

Monthly meetings

Weekly and site visits

Weekly

Monthly meetings

Personnel loaned to recipient

Time that researchers are loaned to help with TT

0

0

1 year

1 week

Successful TT experiences

# of previous successful TT experiences

0

0

0

4

 

Technology elements

Combined research experience

# years of combined research experience of principles

47 years

38 years

46 years

44 years

Technology publications

# publications about technology

45 publications

23 publications

16 publications

16 publications

Personnel assigned to TTO

# of personnel assigned to TTO

0

3

3

0

Technology benefits

# technology benefits identified in the research proposal

10

7

4

7

Budget allocated to TT

% R&D budget dedicated to TTO activities

0

5

0

0

Market

Comprehensiveness of use case

How well is the use case defined

None

None

None

None

Credibility of organizational champion

Credibility of the organizational champion

The champion has technical expertise and is recognized within the region as an expert

The champion has technical expertise and is recognized within the region as an expert

The champion has technical expertise and is recognized within the region as an expert

The champion has technical expertise and is recognized within the organization as an expert

Level of top management interest

Level of organizational support for TT

There is some support by middle management but their engagement and support is not consistent

Executives are aware of the technology but their engagement is not consistent

Executives are aware of the technology but their engagement is not consistent

There is some support by middle management but their engagement and support is not consistent

  

Government incentives

# and type of government incentives

No incentives for energy pods used at utility scale

No incentives exists to encourage technology transfer

No incentives exists to encourage technology transfer

Transient stability modeling important – 1 regulatory incentive

Common technology standards

How are common standards supported

There are no common standards or codes for the technology

Communication standards (CEA 2045, WiFi, radio, etc.) – supported by a consortium

Communication standards (CEA 2045, WiFi, radio, etc.) – supported by a consortium

IEEE standards for PMU data used with modeling – supported by a consortium – more generalized support and awareness by a community but there is no formal requirement in place

ROI

ROI

0

0

0

> 20% but less than 50% ROI

Corresponding desirability curve values

Corresponding desirability curve values

Organizational

Success attributes

Proposal 1

Proposal 2

Proposal 3

Proposal 4

Budget cost share

40

60

60

60

Geographic proximity

37

37

37

27

Average time to contract

40

65

65

40

Stakeholder complexity

53

53

3

87

Technical complexity

83

100

83

17

Social

Diversity events

0

0

22

0

Personnel dedicated to support TT

5

5

0

13

Project meetings

90

100

90

90

Personnel loaned to recipient

0

0

77

10

Successful TT experiences

0

0

0

60

Technology elements

Combined research experience

85

81

85

82

Technology publications

100

73

73

73

Personnel assigned to TTO

0

100

100

0

Technology benefits

100

100

87

100

Budget allocated to TT

0

57

0

0

Market

Comprehensiveness of the use case

0

0

0

0

Credibility of organizational champion

88

88

88

63

Level of top mgmt interest

32

43

43

32

Government incentives

0

0

0

50

Common technology standards

0

40

40

40

ROI

0

0

0

48

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Estep, J., Daim, T.U. (2018). Technology Assessment: Demand Response Technologies in the Pacific Northwest. In: Daim, T., Chan, L., Estep, J. (eds) Infrastructure and Technology Management. Innovation, Technology, and Knowledge Management. Springer, Cham. https://doi.org/10.1007/978-3-319-68987-6_5

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