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University of Groningen

Systems analysis of the bioeconomy as a path towards low carbon development in Colombia Younis, Ahmed Ismail Mohamed; Benders, Reinerus; Lap, Tjerk; Delgado, Ricardo; Miguel Gonzalez-Salazar, Miguel ; Cadena, Angela; Faaij, André

DOI:

10.13140/RG.2.2.27467.21287

IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.

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Publication date: 2020

Link to publication in University of Groningen/UMCG research database

Citation for published version (APA):

Younis, A. I. M., Benders, R., Lap, T., Delgado, R., Miguel Gonzalez-Salazar, M., Cadena, A., & Faaij, A. (2020). Systems analysis of the bioeconomy as a path towards low carbon development in Colombia. https://doi.org/10.13140/RG.2.2.27467.21287

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See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/344593569

Systems analysis of the bioeconomy as a path towards low carbon development in Colombia Poster · July 2020 DOI: 10.13140/RG.2.2.27467.21287 CITATIONS 0 READS 27 7 authors, including:

Some of the authors of this publication are also working on these related projects:

Smart metering cost benefit analysis View project

Assesments of technical and economic potentials of energy crops from marginal land in ChinaView project A. Younis University of Groningen 3PUBLICATIONS   1CITATION    SEE PROFILE Rene Benders University of Groningen 52PUBLICATIONS   1,373CITATIONS    SEE PROFILE Ricardo Delgado

Los Andes University (Colombia)

11PUBLICATIONS   27CITATIONS    SEE PROFILE Tjerk Lap University of Groningen 4PUBLICATIONS   2CITATIONS    SEE PROFILE

All content following this page was uploaded by A. Younis on 11 October 2020.

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Integrated Research on Energy, Environment and Society

Systems analysis of the bioeconomy as a path towards low carbon development in Colombia

Ahmed Younis

1

, René Benders

1

, Ricardo Delgado

2

, Tjerk Lap

1

, Miguel Gonzalez-Salazar

3

, Angela Cadena

2

, André Faaij

1,4

1) Integrated Research on Energy, Environment and Society (IREES), University of Groningen, Groningen, the Netherlands; 2) Modeling and analysis group: Energy-Environment-Economy, School of Engineering, Universidad de los Andes, Bogota, Colombia; 3) Institute for Technology Assessment and Systems Analysis, Karlsruhe Institute of Technology, Karlsruhe, Germany; 4) TNO Energy Transition, Utrecht, the Netherlands

Introduction

Regional climate assessments have reported a variable contribu-tion of biomass to the low carbon development of the Colombian economy (Calderón et al. 2016). National bioenergy roadmaps have been mostly qualitative, with few exceptions (e.g. Gonzalez -Salazar et al. (2016)). Neither of these approaches could thor-oughly address the complexity of the bio-based economy (BBE); in the wider context of energy and chemicals supply and emis-sion mitigation. Recent systems analyses of the BBE (e.g. Lap et al. (2019)) lack a representation of palm oil value chains; which are relevant for Colombia.

Contact:

Ahmed Younis, PhD student, a.i.m.younis@rug.nl

Integrated Research on Energy, Environment and Society (IREES), University of Groningen

This research is part of the bilateral program BBE Colombia – NL (Full name: “Towards a long-term science and innovation collaboration between Colombia and the Netherlands in Biomass Valorisation”). The research is funded by the Netherlands Enterprise Agency (RVO). Reference number TF13COPP7B.

Research Objective

 Explore the potential role biomass can play in the

supply of energy and chemicals and emission mitigation in Colombia to 2050

 Assess the competitiveness of advanced value chains;

including Bioenergy with Carbon Capture and Storage (BECCS), renewable jet fuels (RJF) and bio-chemicals.

Methodology

We use TIMES techno-economic optimization model. We ob-serve the deployment of biomass in different sectors in compe-tition with other value chains (fossil, other renewables, CCS; Figures 1 and 2). We use the Shared Socioeconomic Pathways (SSP) scenario analysis framework to analyze technology devel-opment and mitigation policy scenarios (SSP1 vs. SSP3) and land availability scenarios for biomass (BioHi vs. BioLo).

Main findings

Biomass can play an important yet variable role in Colombia (Figure 3). Novel transport biofuels and biochemicals can be competitive, even without mitigation policy. High technological learning can shift biomass from industrial heat to electricity.

Figure 1: Overview of the reference energy system (Younis et al. under review)

Insights into deep decarbonization (SSP1 ~1.7 Gt-CO2-eq. cumulative avoided emissions 2015-2050):

The availability of (land for) biomass (~2.6 Mha) can reduce the annual energy system cost by up to 11 billion $/y . Alter-natively, substantial investments in power infrastructure and electric mobility will be required (Figure 4).

BECCS technologies can contribute up to 24-29% of the cumulative avoid ed emissions (Younis et al. under review).

Figure 4: Annual energy system cost by 2050

Future research

Implications of land use for the biomass potential: Regional distribution of energy crops and residues and supply costs.

Implications of the high penetration of intermittent renewa-ble energy sources for the power system stability.

References:

Calderón et al. (2016). Achieving CO2 reductions in Colombia: Effects of carbon taxes and abatement

targets. https://doi.org/10.1016/j.eneco.2015.05.010.

Gonzalez-Salazar et al. (2016). A general modeling framework to evaluate energy, economy, land-use and GHG emissions nexus for bioenergy exploitation. https://doi.org/10.1016/j.apenergy.2016.06.039.

Lap et al. (2019). Pathways for a Brazilian biobased economy: towards optimal utilization of biomass. https://doi.org/10.1002/bbb.1978

Younis, A., Benders, R., Delgado, D., Lap, T., Gonzalez-Salazar, M., Cadena, A., & Faaij, A. (under review). System analysis of the bio-based economy in Colombia: A bottom-up energy system model and scenario analysis.

Figure 2: Overview of bio-based conversion technologies (Younis et al. under review)

Figure 3: An overview of biomass sources (a) and applications (b) in 2015 & 2050 scenarios

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