17 lin herencic green jobs calculator, se4_all, 9.12.2013.

Green Jobs Calculator

Lin Herenčić, UNDP Croatia

Zagreb, 9.12.2013.

Contents

• Koncept• Purpose• Methodology• Outputs• Applications• Further development

2Green Jobs Calculator, UNDP Croatia

Idea

• How many jobs are created by supporting low-carbon technologies?

• What is the GHG reduction?

• What are the costs and benefits for the society?

• Game - tool for prioritization and optimization of measures


Purpose: understand better green energy

• Raising awareness about types and effects of measures in energy sector

• For workers, students: information about trends, new job opportunities

• For policy-makers: helping tool • For public: interesting and intuitive overview of

effects of various energy decisions, technologies and policies


Model scheme


Green Jobs

• UNEP, 2008: “...work in agricultural, manufacturing, research and development (R&D), administrative, and service activities that contribute(s) substantially to preserving or restoring environmental quality. Specifically, but not exclusively, this includes jobs that help to protect ecosystems and biodiversity; reduce energy, materials, and water consumption through high efficiency strategies; de-carbonize the economy; and minimize or altogether avoid generation of all forms of waste and pollution."


Input data

• Renewable energy targets until 2020.

• Goals for energy efficiency – 30% of buildings renewed• Shares of domestic jobs in production, installation and

operation and maintenance7Green Jobs Calculator, UNDP Croatia

2010 20200

1,000

2,000

3,000

4,000

5,000

6,000

7,000

Installed RES power and plans [MW]

Heat pumpsBiomass heatingSolar thermalBiogas CHPWaste CHPGeothermal CHPSolid biomass CHPHydroSolar PVWind

Methodology – job creation

• Society – RES jobs in EU 27



• Society – new jobs created per MW installed



• Society – new jobs created per MW installed

• Value of jobs created – tax income increase, social help decrease, education payback... ~ 10.000 EUR/job/year


Support mechanisms

• Feed-in tarifs (14 years), subvention of investment

• APP 0,53 kn/kWh in 2012.


Results

• Society - man-year jobs in 2020


Results

• Society - jobs created in lifetime of technologies

13

Scenario S1 - Low

Scenario S2 - High

Scenario S3 - Moderate

Wind power plants 146 528 367Solar PV 29 104 72Hydropower plants 14 61 41Biomass CHP 109 281 222Geothermal CHP 5 14 11Waste CHP 18 48 37Biogas CHP 8 21 17Solar heat 96 320 229Biomass heat 707 1,787 1,424Heat pumps 51 165 119Energy efficiency, buildings 3,377 11,316 7,721Energy efficiency, public buildings 271 907 619Biofuel 232 600 473Coal power plants 20 71 50Gas CHP 3 19 11Summary 2020 5,083 16,242 11,412

Summary in lifetime of technologies 121,360 334,271 242,334

Green Jobs Calculator, UNDP Croatia

Results

• Society - total jobs in energy sector in Croatia


2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 20200

10,000

20,000

30,000

40,000

50,000

60,000

Extracting of energy materials Oil Products productionElekctrical energy productinon, transmission and maintenance Gas production and distributionGas and oil trading New RES and EE jobs

Results

• Cost and benefit for the society (State) in the lifetime of technologies, Moderate scenario


Results

• Cost and benefit for the society (State) in the lifetime of technologies, Export scenario


Results

• Simple Period of Return of supporting measures


Results

• Visualisation of multidimensional impacts of measures


Conclusions (1)

• At the beginning of measure implementation – higher costs than benefits for the society.

• This cost is reflected mostly as an increased energy price. Macroeconomic impact of increased energy prices tends to reflects negatively on the level of investment, employment, and wage rate as known.

• After period of investment and support, all considered measures have shown multidimensional positive effects.


Conclusions (2)

• The challenge of energy policy based on subsidies for renewable energy technologies is to achieve greater benefits in terms of new jobs, reduced GHG emissions, taxes and the acquisition of knowledge and experience for competition on the open market.

• Visualisation of long-term impacts of measures indicated what measures and by what assumptions will have positive impacts on sustainable development. Additionally, it showed what measures should be re-examined to optimise the consequences.


Opportunities to use

• Overview of projects and need for work force• Promotion and rising awareness about green energy• Area for discussion and creation of energy policies and

measures• Tool for planning of

sustainable development of local areas and countries/ regions


Thank you for your attention!Discussion?

Lin [email protected]


Other results

• Marginal Cost Abatement Curve, S2



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