Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Biofuels01:25

Biofuels

98
The microbial conversion of organic matter into biofuels holds potential as a renewable energy source. Among biofuel sources, microalgae are recognized as a highly efficient and adaptable feedstock for biodiesel production, owing to their rapid biomass accumulation, elevated lipid productivity, and capacity to proliferate in diverse aquatic systems, including freshwater, marine, and wastewater habitats. Unlike terrestrial crops, microalgae do not compete for land and can achieve significantly...
98
Green Algae01:21

Green Algae

1.1K
Green algae, also referred to as chlorophytes, are different from red algae in having the chloroplasts containing chlorophylls a and b, which give them their distinct green hue. However, they lack phycobiliproteins, preventing them from developing the red or blue-green pigmentation seen in red algae. In terms of photosynthetic pigment composition, green algae closely resemble plants and share a close evolutionary relationship with them. Taxonomically Green algae belong to Phylum Chlorophyta in...
1.1K
Exponential Equations with Logarithms: Problem Solving01:29

Exponential Equations with Logarithms: Problem Solving

263
In ecological studies, exponential models are often used to predict how populations grow over time under favorable conditions. These models assume that the growth rate is proportional to the current population, leading to continuous and compounding increases.The model expresses the population as a function of time, combining the initial population with a growth factor raised to an exponent involving the growth rate and time. To estimate how long it takes for a population to reach a specific...
263

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The impact of the COVID-19 pandemic on bystander CPR and AED rates in Canada.

Resuscitation plus·2025
Same author

Canadian Surgery Forum.

Canadian journal of surgery. Journal canadien de chirurgie·2022
Same author

A catalyst for transforming health systems and person-centred care: Canadian national position statement on patient-reported outcomes.

Current oncology (Toronto, Ont.)·2020
Same author

Impact of hydraulic retention time on community assembly and function of photogranules for wastewater treatment.

Water research·2020
Same author

Feasibility of a tapering opioids prescription program for trauma patients at high risk of chronic consumption (TOPP-trauma): protocol for a pilot randomized controlled trial.

Pilot and feasibility studies·2019
Same author

Selective and energy efficient extraction of functional proteins from microalgae for food applications.

Bioresource technology·2018

Related Experiment Video

Updated: Apr 19, 2026

Coupling Carbon Capture from a Power Plant with Semi-automated Open Raceway Ponds for Microalgae Cultivation
08:17

Coupling Carbon Capture from a Power Plant with Semi-automated Open Raceway Ponds for Microalgae Cultivation

Published on: August 14, 2020

6.2K

Logistic analysis of algae cultivation.

P M Slegers1, S Leduc2, R H Wijffels3

  • 1Biobased Chemistry and Technology, Wageningen University, P.O. Box 17, 6700 AA Wageningen, The Netherlands; Bioprocess Engineering, AlgaePARC, Wageningen University, P.O. Box 8129, 6700 EV Wageningen, The Netherlands; International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, Laxenburg A-2361, Austria.

Bioresource Technology
|January 1, 2015
PubMed
Summary

Energy needs for transporting water and CO2 in algae cultivation are quantified. While generally low, transport energy

Keywords:
Energy consumptionLogisticsQuantitative analysisResourcesTransport

More Related Videos

Microalgae Cultivation and Biomass Quantification in a Bench-Scale Photobioreactor with Corrosive Flue Gases
08:41

Microalgae Cultivation and Biomass Quantification in a Bench-Scale Photobioreactor with Corrosive Flue Gases

Published on: December 19, 2019

11.1K
Author Spotlight: Scaling Microalgal Biotechnology for Enhanced Biomethane Production
07:34

Author Spotlight: Scaling Microalgal Biotechnology for Enhanced Biomethane Production

Published on: March 22, 2024

3.7K

Related Experiment Videos

Last Updated: Apr 19, 2026

Coupling Carbon Capture from a Power Plant with Semi-automated Open Raceway Ponds for Microalgae Cultivation
08:17

Coupling Carbon Capture from a Power Plant with Semi-automated Open Raceway Ponds for Microalgae Cultivation

Published on: August 14, 2020

6.2K
Microalgae Cultivation and Biomass Quantification in a Bench-Scale Photobioreactor with Corrosive Flue Gases
08:41

Microalgae Cultivation and Biomass Quantification in a Bench-Scale Photobioreactor with Corrosive Flue Gases

Published on: December 19, 2019

11.1K
Author Spotlight: Scaling Microalgal Biotechnology for Enhanced Biomethane Production
07:34

Author Spotlight: Scaling Microalgal Biotechnology for Enhanced Biomethane Production

Published on: March 22, 2024

3.7K

Area of Science:

  • Biotechnology
  • Sustainable Energy
  • Agricultural Science

Background:

  • Energy requirements for resource transport in algae cultivation remain largely unquantified.
  • Optimizing algae cultivation necessitates understanding the logistical energy costs for water and carbon dioxide (CO2) supply.

Purpose of the Study:

  • To quantitatively analyze the energy requirements for water and CO2 transport in algae cultivation.
  • To assess the impact of transport logistics on site selection for algae farms.

Main Methods:

  • Integrated algae cultivation models with the 'BeWhere' quantitative logistic decision model.
  • Evaluated energy consumption for resource transport across diverse geographical regions: Benelux, southern France, and the Sahara.

Main Results:

  • Energy consumed for water and CO2 transport represents a minor fraction (0.1-3.6%) of algae biomass energy in photobioreactors.
  • Transport energy share is higher in raceway ponds (0.7-38.5%).
  • The Benelux region shows the lowest transport energy consumption due to optimal water and CO2 availability.

Conclusions:

  • Despite low energy consumption, transport logistics significantly influence site selection for algae cultivation.
  • Resource availability, distribution, and transport networks are critical factors for establishing efficient algae farms.